diff --git a/.settings/module_db.json b/.settings/module_db.json
index 2fc22e51..5ca5d743 100644
--- a/.settings/module_db.json
+++ b/.settings/module_db.json
@@ -1,2338 +1,2856 @@
-{
-  "build_number": 7,
-  "build_date": "20-03-2024 12:51:58",
-  "git_revision_number": "3be6f3847150d4bb8debee2451522b0b19fa205f",
-  "modules": [
-    {
-      "name": "PVC",
-      "class": "PVC",
-      "module": "modules.applications.optimization.PVC.PVC",
-      "submodules": [
-        {
-          "name": "Ising",
-          "class": "Ising",
-          "args": {},
-          "module": "modules.applications.optimization.PVC.mappings.ISING",
-          "requirements": [
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            },
-            {
-              "name": "numpy",
-              "version": "1.23.5"
-            },
-            {
-              "name": "dimod",
-              "version": "0.12.5"
-            },
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "QAOA",
-              "class": "QAOA",
-              "args": {},
-              "module": "modules.solvers.QAOA",
-              "requirements": [
-                {
-                  "name": "amazon-braket-sdk",
-                  "version": "1.35.1"
-                },
-                {
-                  "name": "scipy",
-                  "version": "1.10.1"
-                },
-                {
-                  "name": "numpy",
-                  "version": "1.23.5"
-                }
-              ],
-              "submodules": [
-                {
-                  "name": "LocalSimulator",
-                  "class": "LocalSimulator",
-                  "args": {
-                    "device_name": "LocalSimulator"
-                  },
-                  "module": "modules.devices.braket.LocalSimulator",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
-                  "class": "SV1",
-                  "args": {
-                    "device_name": "SV1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
-                  },
-                  "module": "modules.devices.braket.SV1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
-                  "class": "TN1",
-                  "args": {
-                    "device_name": "TN1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
-                  },
-                  "module": "modules.devices.braket.TN1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
-                  "class": "Ionq",
-                  "args": {
-                    "device_name": "ionQ",
-                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
-                  },
-                  "module": "modules.devices.braket.Ionq",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
-                  "class": "Rigetti",
-                  "args": {
-                    "device_name": "Rigetti Aspen-9",
-                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
-                  },
-                  "module": "modules.devices.braket.Rigetti",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                }
-              ]
-            },
-            {
-              "name": "PennylaneQAOA",
-              "class": "PennylaneQAOA",
-              "args": {},
-              "module": "modules.solvers.PennylaneQAOA",
-              "requirements": [
-                {
-                  "name": "pennylane",
-                  "version": "0.28.0"
-                },
-                {
-                  "name": "pennylane-lightning",
-                  "version": "0.28.0"
-                },
-                {
-                  "name": "amazon-braket-pennylane-plugin",
-                  "version": "1.5.2"
-                },
-                {
-                  "name": "numpy",
-                  "version": "1.23.5"
-                }
-              ],
-              "submodules": [
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
-                  "class": "SV1",
-                  "args": {
-                    "device_name": "SV1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
-                  },
-                  "module": "modules.devices.braket.SV1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
-                  "class": "TN1",
-                  "args": {
-                    "device_name": "TN1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
-                  },
-                  "module": "modules.devices.braket.TN1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
-                  "class": "Ionq",
-                  "args": {
-                    "device_name": "ionq",
-                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
-                  },
-                  "module": "modules.devices.braket.Ionq",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
-                  "class": "Rigetti",
-                  "args": {
-                    "device_name": "Rigetti",
-                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
-                  },
-                  "module": "modules.devices.braket.Rigetti",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy",
-                  "class": "OQC",
-                  "args": {
-                    "device_name": "OQC",
-                    "arn": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy"
-                  },
-                  "module": "modules.devices.braket.OQC",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "braket.local.qubit",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "braket.local.qubit"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                },
-                {
-                  "name": "default.qubit",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "default.qubit"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                },
-                {
-                  "name": "default.qubit.autograd",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "default.qubit.autograd"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                },
-                {
-                  "name": "qulacs.simulator",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "qulacs.simulator"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                },
-                {
-                  "name": "lightning.gpu",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "lightning.gpu"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                },
-                {
-                  "name": "lightning.qubit",
-                  "class": "HelperClass",
-                  "args": {
-                    "device_name": "lightning.qubit"
-                  },
-                  "module": "modules.devices.HelperClass",
-                  "requirements": [],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "QUBO",
-          "class": "QUBO",
-          "args": {},
-          "module": "modules.applications.optimization.PVC.mappings.QUBO",
-          "requirements": [
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Annealer",
-              "class": "Annealer",
-              "args": {},
-              "module": "modules.solvers.Annealer",
-              "requirements": [],
-              "submodules": [
-                {
-                  "name": "Simulated Annealer",
-                  "class": "SimulatedAnnealingSampler",
-                  "args": {},
-                  "module": "modules.devices.SimulatedAnnealingSampler",
-                  "requirements": [
-                    {
-                      "name": "dwave-samplers",
-                      "version": "1.0.0"
-                    }
-                  ],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "GreedyClassicalPVC",
-          "class": "GreedyClassicalPVC",
-          "args": {},
-          "module": "modules.solvers.GreedyClassicalPVC",
-          "requirements": [
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Local",
-              "class": "Local",
-              "args": {},
-              "module": "modules.devices.Local",
-              "requirements": [],
-              "submodules": []
-            }
-          ]
-        },
-        {
-          "name": "ReverseGreedyClassicalPVC",
-          "class": "ReverseGreedyClassicalPVC",
-          "args": {},
-          "module": "modules.solvers.ReverseGreedyClassicalPVC",
-          "requirements": [
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Local",
-              "class": "Local",
-              "args": {},
-              "module": "modules.devices.Local",
-              "requirements": [],
-              "submodules": []
-            }
-          ]
-        },
-        {
-          "name": "RandomPVC",
-          "class": "RandomPVC",
-          "args": {},
-          "module": "modules.solvers.RandomClassicalPVC",
-          "requirements": [
-            {
-              "name": "networkx",
-              "version": "2.8.8"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Local",
-              "class": "Local",
-              "args": {},
-              "module": "modules.devices.Local",
-              "requirements": [],
-              "submodules": []
-            }
-          ]
-        }
-      ],
-      "requirements": [
-        {
-          "name": "networkx",
-          "version": "2.8.8"
-        },
-        {
-          "name": "numpy",
-          "version": "1.23.5"
-        }
-      ]
-    },
-    {
-      "name": "SAT",
-      "class": "SAT",
-      "module": "modules.applications.optimization.SAT.SAT",
-      "submodules": [
-        {
-          "name": "QubovertQUBO",
-          "class": "QubovertQUBO",
-          "args": {},
-          "module": "modules.applications.optimization.SAT.mappings.QubovertQUBO",
-          "requirements": [
-            {
-              "name": "nnf",
-              "version": "0.4.1"
-            },
-            {
-              "name": "qubovert",
-              "version": "1.2.5"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Annealer",
-              "class": "Annealer",
-              "args": {},
-              "module": "modules.solvers.Annealer",
-              "requirements": [],
-              "submodules": [
-                {
-                  "name": "Simulated Annealer",
-                  "class": "SimulatedAnnealingSampler",
-                  "args": {},
-                  "module": "modules.devices.SimulatedAnnealingSampler",
-                  "requirements": [
-                    {
-                      "name": "dwave-samplers",
-                      "version": "1.0.0"
-                    }
-                  ],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "Direct",
-          "class": "Direct",
-          "args": {},
-          "module": "modules.applications.optimization.SAT.mappings.Direct",
-          "requirements": [
-            {
-              "name": "nnf",
-              "version": "0.4.1"
-            },
-            {
-              "name": "python-sat",
-              "version": "0.1.7.dev26"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "ClassicalSAT",
-              "class": "ClassicalSAT",
-              "args": {},
-              "module": "modules.solvers.ClassicalSAT",
-              "requirements": [
-                {
-                  "name": "python-sat",
-                  "version": "0.1.7.dev26"
-                }
-              ],
-              "submodules": [
-                {
-                  "name": "Local",
-                  "class": "Local",
-                  "args": {},
-                  "module": "modules.devices.Local",
-                  "requirements": [],
-                  "submodules": []
-                }
-              ]
-            },
-            {
-              "name": "RandomSAT",
-              "class": "RandomSAT",
-              "args": {},
-              "module": "modules.solvers.RandomClassicalSAT",
-              "requirements": [
-                {
-                  "name": "python-sat",
-                  "version": "0.1.7.dev26"
-                },
-                {
-                  "name": "numpy",
-                  "version": "1.23.5"
-                }
-              ],
-              "submodules": [
-                {
-                  "name": "Local",
-                  "class": "Local",
-                  "args": {},
-                  "module": "modules.devices.Local",
-                  "requirements": [],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "ChoiQUBO",
-          "class": "ChoiQUBO",
-          "args": {},
-          "module": "modules.applications.optimization.SAT.mappings.ChoiQUBO",
-          "requirements": [
-            {
-              "name": "nnf",
-              "version": "0.4.1"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Annealer",
-              "class": "Annealer",
-              "args": {},
-              "module": "modules.solvers.Annealer",
-              "requirements": [],
-              "submodules": [
-                {
-                  "name": "Simulated Annealer",
-                  "class": "SimulatedAnnealingSampler",
-                  "args": {},
-                  "module": "modules.devices.SimulatedAnnealingSampler",
-                  "requirements": [
-                    {
-                      "name": "dwave-samplers",
-                      "version": "1.0.0"
-                    }
-                  ],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "DinneenQUBO",
-          "class": "DinneenQUBO",
-          "args": {},
-          "module": "modules.applications.optimization.SAT.mappings.DinneenQUBO",
-          "requirements": [
-            {
-              "name": "nnf",
-              "version": "0.4.1"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "Annealer",
-              "class": "Annealer",
-              "args": {},
-              "module": "modules.solvers.Annealer",
-              "requirements": [],
-              "submodules": [
-                {
-                  "name": "Simulated Annealer",
-                  "class": "SimulatedAnnealingSampler",
-                  "args": {},
-                  "module": "modules.devices.SimulatedAnnealingSampler",
-                  "requirements": [
-                    {
-                      "name": "dwave-samplers",
-                      "version": "1.0.0"
-                    }
-                  ],
-                  "submodules": []
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "name": "ChoiIsing",
-          "class": "ChoiIsing",
-          "args": {},
-          "module": "modules.applications.optimization.SAT.mappings.ChoiISING",
-          "requirements": [
-            {
-              "name": "numpy",
-              "version": "1.23.5"
-            },
-            {
-              "name": "dimod",
-              "version": "0.12.5"
-            },
-            {
-              "name": "nnf",
-              "version": "0.4.1"
-            }
-          ],
-          "submodules": [
-            {
-              "name": "QAOA",
-              "class": "QAOA",
-              "args": {},
-              "module": "modules.solvers.QAOA",
-              "requirements": [
-                {
-                  "name": "amazon-braket-sdk",
-                  "version": "1.35.1"
-                },
-                {
-                  "name": "scipy",
-                  "version": "1.10.1"
-                },
-                {
-                  "name": "numpy",
-                  "version": "1.23.5"
-                }
-              ],
-              "submodules": [
-                {
-                  "name": "LocalSimulator",
-                  "class": "LocalSimulator",
-                  "args": {
-                    "device_name": "LocalSimulator"
-                  },
-                  "module": "modules.devices.braket.LocalSimulator",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
-                  "class": "SV1",
-                  "args": {
-                    "device_name": "SV1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
-                  },
-                  "module": "modules.devices.braket.SV1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
-                  "class": "TN1",
-                  "args": {
-                    "device_name": "TN1",
-                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
-                  },
-                  "module": "modules.devices.braket.TN1",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
-                  "submodules": []
-                },
-                {
-                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
-                  "class": "Ionq",
-                  "args": {
-                    "device_name": "ionQ",
-                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
-                  },
-                  "module": "modules.devices.braket.Ionq",
-                  "requirements": [
-                    {
-                      "name": "amazon-braket-sdk",
-                      "version": "1.35.1"
-                    },
-                    {
-                      "name": "botocore",
-                      "version": "1.25.7"
-                    },
-                    {
-                      "name": "boto3",
-                      "version": "1.22.7"
-                    }
-                  ],
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+{
+  "build_number": 8,
+  "build_date": "13-05-2024 15:58:02",
+  "git_revision_number": "1caf302b6d1ff20061b631f42044049e92e7c5dc",
+  "modules": [
+    {
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+      "class": "PVC",
+      "module": "modules.applications.optimization.PVC.PVC",
+      "submodules": [
+        {
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+          "class": "Ising",
+          "args": {},
+          "module": "modules.applications.optimization.PVC.mappings.ISING",
+          "requirements": [
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+              "class": "QAOA",
+              "args": {},
+              "module": "modules.solvers.QAOA",
+              "requirements": [
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+                  "class": "LocalSimulator",
+                  "args": {
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+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
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+                  "args": {
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+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
+                  },
+                  "module": "modules.devices.braket.TN1",
+                  "requirements": [
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+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
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+                      "version": "1.25.7"
+                    },
+                    {
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+                      "version": "1.22.7"
+                    }
+                  ],
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+                },
+                {
+                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
+                  "class": "Ionq",
+                  "args": {
+                    "device_name": "ionQ",
+                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
+                  },
+                  "module": "modules.devices.braket.Ionq",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
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+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
+                  "class": "Rigetti",
+                  "args": {
+                    "device_name": "Rigetti Aspen-9",
+                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
+                  },
+                  "module": "modules.devices.braket.Rigetti",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            },
+            {
+              "name": "PennylaneQAOA",
+              "class": "PennylaneQAOA",
+              "args": {},
+              "module": "modules.solvers.PennylaneQAOA",
+              "requirements": [
+                {
+                  "name": "pennylane",
+                  "version": "0.28.0"
+                },
+                {
+                  "name": "pennylane-lightning",
+                  "version": "0.28.0"
+                },
+                {
+                  "name": "amazon-braket-pennylane-plugin",
+                  "version": "1.5.2"
+                },
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
+                  "class": "SV1",
+                  "args": {
+                    "device_name": "SV1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
+                  },
+                  "module": "modules.devices.braket.SV1",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
+                  "class": "TN1",
+                  "args": {
+                    "device_name": "TN1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
+                  },
+                  "module": "modules.devices.braket.TN1",
+                  "requirements": [
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+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
+                  "class": "Ionq",
+                  "args": {
+                    "device_name": "ionq",
+                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
+                  },
+                  "module": "modules.devices.braket.Ionq",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
+                  "class": "Rigetti",
+                  "args": {
+                    "device_name": "Rigetti",
+                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
+                  },
+                  "module": "modules.devices.braket.Rigetti",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy",
+                  "class": "OQC",
+                  "args": {
+                    "device_name": "OQC",
+                    "arn": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy"
+                  },
+                  "module": "modules.devices.braket.OQC",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "braket.local.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "braket.local.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "default.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "default.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "default.qubit.autograd",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "default.qubit.autograd"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "qulacs.simulator",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "qulacs.simulator"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "lightning.gpu",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "lightning.gpu"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "lightning.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "lightning.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "QUBO",
+          "class": "QUBO",
+          "args": {},
+          "module": "modules.applications.optimization.PVC.mappings.QUBO",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Annealer",
+              "class": "Annealer",
+              "args": {},
+              "module": "modules.solvers.Annealer",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "Simulated Annealer",
+                  "class": "SimulatedAnnealingSampler",
+                  "args": {},
+                  "module": "modules.devices.SimulatedAnnealingSampler",
+                  "requirements": [
+                    {
+                      "name": "dwave-samplers",
+                      "version": "1.0.0"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "GreedyClassicalPVC",
+          "class": "GreedyClassicalPVC",
+          "args": {},
+          "module": "modules.solvers.GreedyClassicalPVC",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        },
+        {
+          "name": "ReverseGreedyClassicalPVC",
+          "class": "ReverseGreedyClassicalPVC",
+          "args": {},
+          "module": "modules.solvers.ReverseGreedyClassicalPVC",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        },
+        {
+          "name": "RandomPVC",
+          "class": "RandomPVC",
+          "args": {},
+          "module": "modules.solvers.RandomClassicalPVC",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        }
+      ],
+      "requirements": [
+        {
+          "name": "networkx",
+          "version": "2.8.8"
+        },
+        {
+          "name": "numpy",
+          "version": "1.23.5"
+        }
+      ]
+    },
+    {
+      "name": "SAT",
+      "class": "SAT",
+      "module": "modules.applications.optimization.SAT.SAT",
+      "submodules": [
+        {
+          "name": "QubovertQUBO",
+          "class": "QubovertQUBO",
+          "args": {},
+          "module": "modules.applications.optimization.SAT.mappings.QubovertQUBO",
+          "requirements": [
+            {
+              "name": "nnf",
+              "version": "0.4.1"
+            },
+            {
+              "name": "qubovert",
+              "version": "1.2.5"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Annealer",
+              "class": "Annealer",
+              "args": {},
+              "module": "modules.solvers.Annealer",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "Simulated Annealer",
+                  "class": "SimulatedAnnealingSampler",
+                  "args": {},
+                  "module": "modules.devices.SimulatedAnnealingSampler",
+                  "requirements": [
+                    {
+                      "name": "dwave-samplers",
+                      "version": "1.0.0"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "Direct",
+          "class": "Direct",
+          "args": {},
+          "module": "modules.applications.optimization.SAT.mappings.Direct",
+          "requirements": [
+            {
+              "name": "nnf",
+              "version": "0.4.1"
+            },
+            {
+              "name": "python-sat",
+              "version": "0.1.7.dev26"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "ClassicalSAT",
+              "class": "ClassicalSAT",
+              "args": {},
+              "module": "modules.solvers.ClassicalSAT",
+              "requirements": [
+                {
+                  "name": "python-sat",
+                  "version": "0.1.7.dev26"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "Local",
+                  "class": "Local",
+                  "args": {},
+                  "module": "modules.devices.Local",
+                  "requirements": [],
+                  "submodules": []
+                }
+              ]
+            },
+            {
+              "name": "RandomSAT",
+              "class": "RandomSAT",
+              "args": {},
+              "module": "modules.solvers.RandomClassicalSAT",
+              "requirements": [
+                {
+                  "name": "python-sat",
+                  "version": "0.1.7.dev26"
+                },
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "Local",
+                  "class": "Local",
+                  "args": {},
+                  "module": "modules.devices.Local",
+                  "requirements": [],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "ChoiQUBO",
+          "class": "ChoiQUBO",
+          "args": {},
+          "module": "modules.applications.optimization.SAT.mappings.ChoiQUBO",
+          "requirements": [
+            {
+              "name": "nnf",
+              "version": "0.4.1"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Annealer",
+              "class": "Annealer",
+              "args": {},
+              "module": "modules.solvers.Annealer",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "Simulated Annealer",
+                  "class": "SimulatedAnnealingSampler",
+                  "args": {},
+                  "module": "modules.devices.SimulatedAnnealingSampler",
+                  "requirements": [
+                    {
+                      "name": "dwave-samplers",
+                      "version": "1.0.0"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "DinneenQUBO",
+          "class": "DinneenQUBO",
+          "args": {},
+          "module": "modules.applications.optimization.SAT.mappings.DinneenQUBO",
+          "requirements": [
+            {
+              "name": "nnf",
+              "version": "0.4.1"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Annealer",
+              "class": "Annealer",
+              "args": {},
+              "module": "modules.solvers.Annealer",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "Simulated Annealer",
+                  "class": "SimulatedAnnealingSampler",
+                  "args": {},
+                  "module": "modules.devices.SimulatedAnnealingSampler",
+                  "requirements": [
+                    {
+                      "name": "dwave-samplers",
+                      "version": "1.0.0"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "ChoiIsing",
+          "class": "ChoiIsing",
+          "args": {},
+          "module": "modules.applications.optimization.SAT.mappings.ChoiISING",
+          "requirements": [
+            {
+              "name": "numpy",
+              "version": "1.23.5"
+            },
+            {
+              "name": "dimod",
+              "version": "0.12.5"
+            },
+            {
+              "name": "nnf",
+              "version": "0.4.1"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "QAOA",
+              "class": "QAOA",
+              "args": {},
+              "module": "modules.solvers.QAOA",
+              "requirements": [
+                {
+                  "name": "amazon-braket-sdk",
+                  "version": "1.35.1"
+                },
+                {
+                  "name": "scipy",
+                  "version": "1.10.1"
+                },
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "LocalSimulator",
+                  "class": "LocalSimulator",
+                  "args": {
+                    "device_name": "LocalSimulator"
+                  },
+                  "module": "modules.devices.braket.LocalSimulator",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
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+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
+                  "class": "SV1",
+                  "args": {
+                    "device_name": "SV1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
+                  },
+                  "module": "modules.devices.braket.SV1",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
+                  "class": "TN1",
+                  "args": {
+                    "device_name": "TN1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
+                  },
+                  "module": "modules.devices.braket.TN1",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
+                  "class": "Ionq",
+                  "args": {
+                    "device_name": "ionQ",
+                    "arn": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony"
+                  },
+                  "module": "modules.devices.braket.Ionq",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
+                  "class": "Rigetti",
+                  "args": {
+                    "device_name": "Rigetti Aspen-9",
+                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
+                  },
+                  "module": "modules.devices.braket.Rigetti",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            },
+            {
+              "name": "PennylaneQAOA",
+              "class": "PennylaneQAOA",
+              "args": {},
+              "module": "modules.solvers.PennylaneQAOA",
+              "requirements": [
+                {
+                  "name": "pennylane",
+                  "version": "0.28.0"
+                },
+                {
+                  "name": "pennylane-lightning",
+                  "version": "0.28.0"
+                },
+                {
+                  "name": "amazon-braket-pennylane-plugin",
+                  "version": "1.5.2"
+                },
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/sv1",
+                  "class": "SV1",
+                  "args": {
+                    "device_name": "SV1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/sv1"
+                  },
+                  "module": "modules.devices.braket.SV1",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:::device/quantum-simulator/amazon/tn1",
+                  "class": "TN1",
+                  "args": {
+                    "device_name": "TN1",
+                    "arn": "arn:aws:braket:::device/quantum-simulator/amazon/tn1"
+                  },
+                  "module": "modules.devices.braket.TN1",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-east-1::device/qpu/ionq/Harmony",
+                  "class": "Ionq",
+                  "args": {
+                    "device_name": "ionq",
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+                },
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+          "class": "DinneenIsing",
+          "args": {},
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+                  "class": "Rigetti",
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+                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
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+          "class": "Ising",
+          "args": {},
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+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3",
+                  "class": "Rigetti",
+                  "args": {
+                    "device_name": "Rigetti",
+                    "arn": "arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-3"
+                  },
+                  "module": "modules.devices.braket.Rigetti",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy",
+                  "class": "OQC",
+                  "args": {
+                    "device_name": "OQC",
+                    "arn": "arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy"
+                  },
+                  "module": "modules.devices.braket.OQC",
+                  "requirements": [
+                    {
+                      "name": "amazon-braket-sdk",
+                      "version": "1.35.1"
+                    },
+                    {
+                      "name": "botocore",
+                      "version": "1.25.7"
+                    },
+                    {
+                      "name": "boto3",
+                      "version": "1.22.7"
+                    }
+                  ],
+                  "submodules": []
+                },
+                {
+                  "name": "braket.local.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "braket.local.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "default.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "default.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "default.qubit.autograd",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "default.qubit.autograd"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "qulacs.simulator",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "qulacs.simulator"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "lightning.gpu",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "lightning.gpu"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "lightning.qubit",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "lightning.qubit"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                }
+              ]
+            },
+            {
+              "name": "QiskitQAOA",
+              "class": "QiskitQAOA",
+              "args": {},
+              "module": "modules.solvers.QiskitQAOA",
+              "requirements": [
+                {
+                  "name": "qiskit",
+                  "version": "0.45.0"
+                },
+                {
+                  "name": "qiskit-optimization",
+                  "version": "0.5.0"
+                },
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "qasm_simulator",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "qasm_simulator"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                },
+                {
+                  "name": "qasm_simulator_gpu",
+                  "class": "HelperClass",
+                  "args": {
+                    "device_name": "qasm_simulator_gpu"
+                  },
+                  "module": "modules.devices.HelperClass",
+                  "requirements": [],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "QUBO",
+          "class": "QUBO",
+          "args": {},
+          "module": "modules.applications.optimization.TSP.mappings.QUBO",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            },
+            {
+              "name": "dwave_networkx",
+              "version": "0.8.13"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Annealer",
+              "class": "Annealer",
+              "args": {},
+              "module": "modules.solvers.Annealer",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "Simulated Annealer",
+                  "class": "SimulatedAnnealingSampler",
+                  "args": {},
+                  "module": "modules.devices.SimulatedAnnealingSampler",
+                  "requirements": [
+                    {
+                      "name": "dwave-samplers",
+                      "version": "1.0.0"
+                    }
+                  ],
+                  "submodules": []
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "GreedyClassicalTSP",
+          "class": "GreedyClassicalTSP",
+          "args": {},
+          "module": "modules.solvers.GreedyClassicalTSP",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        },
+        {
+          "name": "ReverseGreedyClassicalTSP",
+          "class": "ReverseGreedyClassicalTSP",
+          "args": {},
+          "module": "modules.solvers.ReverseGreedyClassicalTSP",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        },
+        {
+          "name": "RandomTSP",
+          "class": "RandomTSP",
+          "args": {},
+          "module": "modules.solvers.RandomClassicalTSP",
+          "requirements": [
+            {
+              "name": "networkx",
+              "version": "2.8.8"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "Local",
+              "class": "Local",
+              "args": {},
+              "module": "modules.devices.Local",
+              "requirements": [],
+              "submodules": []
+            }
+          ]
+        }
+      ],
+      "requirements": [
+        {
+          "name": "networkx",
+          "version": "2.8.8"
+        },
+        {
+          "name": "numpy",
+          "version": "1.23.5"
+        }
+      ]
+    },
+    {
+      "name": "GenerativeModeling",
+      "class": "GenerativeModeling",
+      "module": "modules.applications.QML.generative_modeling.GenerativeModeling",
+      "submodules": [
+        {
+          "name": "Continuous Data",
+          "class": "ContinuousData",
+          "args": {},
+          "module": "modules.applications.QML.generative_modeling.data.data_handler.ContinuousData",
+          "requirements": [
+            {
+              "name": "numpy",
+              "version": "1.23.5"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "PIT",
+              "class": "PIT",
+              "args": {},
+              "module": "modules.applications.QML.generative_modeling.transformations.PIT",
+              "requirements": [
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                },
+                {
+                  "name": "pandas",
+                  "version": "1.5.2"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "CircuitCopula",
+                  "class": "CircuitCopula",
+                  "args": {},
+                  "module": "modules.circuits.CircuitCopula",
+                  "requirements": [
+                    {
+                      "name": "scipy",
+                      "version": "1.11.1"
+                    }
+                  ],
+                  "submodules": [
+                    {
+                      "name": "LibraryQiskit",
+                      "class": "LibraryQiskit",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.LibraryQiskit",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "CustomQiskitNoisyBackend",
+                      "class": "CustomQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "PresetQiskitNoisyBackend",
+                      "class": "PresetQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    }
+                  ]
+                }
+              ]
+            },
+            {
+              "name": "MinMax",
+              "class": "MinMax",
+              "args": {},
+              "module": "modules.applications.QML.generative_modeling.transformations.MinMax",
+              "requirements": [
+                {
+                  "name": "numpy",
+                  "version": "1.23.5"
+                }
+              ],
+              "submodules": [
+                {
+                  "name": "CircuitStandard",
+                  "class": "CircuitStandard",
+                  "args": {},
+                  "module": "modules.circuits.CircuitStandard",
+                  "requirements": [
+                    {
+                      "name": "scipy",
+                      "version": "1.11.1"
+                    }
+                  ],
+                  "submodules": [
+                    {
+                      "name": "LibraryQiskit",
+                      "class": "LibraryQiskit",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.LibraryQiskit",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "CustomQiskitNoisyBackend",
+                      "class": "CustomQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "PresetQiskitNoisyBackend",
+                      "class": "PresetQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    }
+                  ]
+                },
+                {
+                  "name": "CircuitCardinality",
+                  "class": "CircuitCardinality",
+                  "args": {},
+                  "module": "modules.circuits.CircuitCardinality",
+                  "requirements": [],
+                  "submodules": [
+                    {
+                      "name": "LibraryQiskit",
+                      "class": "LibraryQiskit",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.LibraryQiskit",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "CustomQiskitNoisyBackend",
+                      "class": "CustomQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    },
+                    {
+                      "name": "PresetQiskitNoisyBackend",
+                      "class": "PresetQiskitNoisyBackend",
+                      "args": {},
+                      "module": "modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend",
+                      "requirements": [
+                        {
+                          "name": "qiskit",
+                          "version": "0.45.0"
+                        },
+                        {
+                          "name": "qiskit_aer",
+                          "version": "0.11.2"
+                        },
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "qiskit-ibmq-provider",
+                          "version": "0.19.2"
+                        }
+                      ],
+                      "submodules": [
+                        {
+                          "name": "QCBM",
+                          "class": "QCBM",
+                          "args": {},
+                          "module": "modules.training.QCBM",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            },
+                            {
+                              "name": "cma",
+                              "version": "3.3.0"
+                            },
+                            {
+                              "name": "tensorboard",
+                              "version": "2.13.0"
+                            },
+                            {
+                              "name": "tensorboardX",
+                              "version": "2.6.2"
+                            }
+                          ],
+                          "submodules": []
+                        },
+                        {
+                          "name": "Inference",
+                          "class": "Inference",
+                          "args": {},
+                          "module": "modules.training.Inference",
+                          "requirements": [
+                            {
+                              "name": "numpy",
+                              "version": "1.23.5"
+                            }
+                          ],
+                          "submodules": []
+                        }
+                      ]
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "name": "Discrete Data",
+          "class": "DiscreteData",
+          "args": {},
+          "module": "modules.applications.QML.generative_modeling.data.data_handler.DiscreteData",
+          "requirements": [
+            {
+              "name": "numpy",
+              "version": "1.23.5"
+            }
+          ],
+          "submodules": [
+            {
+              "name": "CircuitCardinality",
+              "class": "CircuitCardinality",
+              "args": {},
+              "module": "modules.circuits.CircuitCardinality",
+              "requirements": [],
+              "submodules": [
+                {
+                  "name": "LibraryQiskit",
+                  "class": "LibraryQiskit",
+                  "args": {},
+                  "module": "modules.applications.QML.generative_modeling.mappings.LibraryQiskit",
+                  "requirements": [
+                    {
+                      "name": "qiskit",
+                      "version": "0.45.0"
+                    },
+                    {
+                      "name": "numpy",
+                      "version": "1.23.5"
+                    },
+                    {
+                      "name": "qiskit-ibmq-provider",
+                      "version": "0.19.2"
+                    }
+                  ],
+                  "submodules": [
+                    {
+                      "name": "QCBM",
+                      "class": "QCBM",
+                      "args": {},
+                      "module": "modules.training.QCBM",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "cma",
+                          "version": "3.3.0"
+                        },
+                        {
+                          "name": "tensorboard",
+                          "version": "2.13.0"
+                        },
+                        {
+                          "name": "tensorboardX",
+                          "version": "2.6.2"
+                        }
+                      ],
+                      "submodules": []
+                    },
+                    {
+                      "name": "Inference",
+                      "class": "Inference",
+                      "args": {},
+                      "module": "modules.training.Inference",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        }
+                      ],
+                      "submodules": []
+                    }
+                  ]
+                },
+                {
+                  "name": "CustomQiskitNoisyBackend",
+                  "class": "CustomQiskitNoisyBackend",
+                  "args": {},
+                  "module": "modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend",
+                  "requirements": [
+                    {
+                      "name": "qiskit",
+                      "version": "0.45.0"
+                    },
+                    {
+                      "name": "qiskit_aer",
+                      "version": "0.11.2"
+                    },
+                    {
+                      "name": "numpy",
+                      "version": "1.23.5"
+                    },
+                    {
+                      "name": "qiskit-ibmq-provider",
+                      "version": "0.19.2"
+                    }
+                  ],
+                  "submodules": [
+                    {
+                      "name": "QCBM",
+                      "class": "QCBM",
+                      "args": {},
+                      "module": "modules.training.QCBM",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "cma",
+                          "version": "3.3.0"
+                        },
+                        {
+                          "name": "tensorboard",
+                          "version": "2.13.0"
+                        },
+                        {
+                          "name": "tensorboardX",
+                          "version": "2.6.2"
+                        }
+                      ],
+                      "submodules": []
+                    },
+                    {
+                      "name": "Inference",
+                      "class": "Inference",
+                      "args": {},
+                      "module": "modules.training.Inference",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        }
+                      ],
+                      "submodules": []
+                    }
+                  ]
+                },
+                {
+                  "name": "PresetQiskitNoisyBackend",
+                  "class": "PresetQiskitNoisyBackend",
+                  "args": {},
+                  "module": "modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend",
+                  "requirements": [
+                    {
+                      "name": "qiskit",
+                      "version": "0.45.0"
+                    },
+                    {
+                      "name": "qiskit_aer",
+                      "version": "0.11.2"
+                    },
+                    {
+                      "name": "numpy",
+                      "version": "1.23.5"
+                    },
+                    {
+                      "name": "qiskit-ibmq-provider",
+                      "version": "0.19.2"
+                    }
+                  ],
+                  "submodules": [
+                    {
+                      "name": "QCBM",
+                      "class": "QCBM",
+                      "args": {},
+                      "module": "modules.training.QCBM",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        },
+                        {
+                          "name": "cma",
+                          "version": "3.3.0"
+                        },
+                        {
+                          "name": "tensorboard",
+                          "version": "2.13.0"
+                        },
+                        {
+                          "name": "tensorboardX",
+                          "version": "2.6.2"
+                        }
+                      ],
+                      "submodules": []
+                    },
+                    {
+                      "name": "Inference",
+                      "class": "Inference",
+                      "args": {},
+                      "module": "modules.training.Inference",
+                      "requirements": [
+                        {
+                          "name": "numpy",
+                          "version": "1.23.5"
+                        }
+                      ],
+                      "submodules": []
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ],
+      "requirements": []
+    }
+  ]
 }
\ No newline at end of file
diff --git a/.settings/requirements_full.txt b/.settings/requirements_full.txt
index 4168d82b..b9130d94 100644
--- a/.settings/requirements_full.txt
+++ b/.settings/requirements_full.txt
@@ -1,30 +1,32 @@
-seaborn==0.13.0
-networkx==2.8.8
-inquirer==3.1.2
-packaging==23.1
-pyyaml==6.0
-typing-extensions==4.6.3
-sphinx==6.2.1
-sphinx-rtd-theme==1.2.0
-numpy==1.23.5
-dimod==0.12.5
-amazon-braket-sdk==1.35.1
-scipy==1.11.1
-botocore==1.25.7
-boto3==1.22.7
-pennylane==0.28.0
-pennylane-lightning==0.28.0
-amazon-braket-pennylane-plugin==1.5.2
-dwave-samplers==1.0.0
-nnf==0.4.1
-qubovert==1.2.5
-python-sat==0.1.7.dev26
-more-itertools==9.0.0
-qiskit-optimization==0.5.0
-pyqubo==1.4.0
-dwave_networkx==0.8.13
-qiskit==0.40.0
-pandas==1.5.2
-cma==3.3.0
-tensorboard==2.13.0
-tensorboardX==2.6.2
+seaborn==0.13.0
+networkx==2.8.8
+inquirer==3.1.2
+packaging==23.1
+pyyaml==6.0
+typing-extensions==4.6.3
+sphinx==6.2.1
+sphinx-rtd-theme==1.2.0
+numpy==1.23.5
+dimod==0.12.5
+amazon-braket-sdk==1.35.1
+scipy==1.11.1
+botocore==1.25.7
+boto3==1.22.7
+pennylane==0.28.0
+pennylane-lightning==0.28.0
+amazon-braket-pennylane-plugin==1.5.2
+dwave-samplers==1.0.0
+nnf==0.4.1
+qubovert==1.2.5
+python-sat==0.1.7.dev26
+more-itertools==9.0.0
+qiskit-optimization==0.5.0
+pyqubo==1.4.0
+dwave_networkx==0.8.13
+qiskit==0.45.0
+pandas==1.5.2
+qiskit-ibmq-provider==0.19.2
+cma==3.3.0
+tensorboard==2.13.0
+tensorboardX==2.6.2
+qiskit_aer==0.11.2
diff --git a/src/modules/applications/QML/generative_modeling/data/data_handler/DataHandler.py b/src/modules/applications/QML/generative_modeling/data/data_handler/DataHandler.py
index 15492edd..b46b1603 100644
--- a/src/modules/applications/QML/generative_modeling/data/data_handler/DataHandler.py
+++ b/src/modules/applications/QML/generative_modeling/data/data_handler/DataHandler.py
@@ -14,6 +14,7 @@
 
 import pickle
 import os
+from qiskit import qpy
 
 import numpy as np
 import pandas as pd
@@ -25,7 +26,7 @@
 
 class DataHandler(Core, ABC):
     """
-    The task of the DataHandler module is to translate the application’s data 
+    The task of the DataHandler module is to translate the application’s data
     and problem specification into preproccesed format.
     """
 
@@ -150,6 +151,10 @@ def postprocess(self, input_data: dict, config: dict, **kwargs):
             with open(f"{store_dir_iter}/training_results-{kwargs['rep_count']}.pkl", 'wb') as f:
                 pickle.dump(input_data, f)
 
+            if "circuit_transpiled" in list(input_data.keys()):
+                with open(f"{store_dir_iter}/transpiled_circuit_{kwargs['rep_count']}.qpy", 'wb') as f:
+                    qpy.dump(input_data.pop("circuit_transpiled"), f)
+
             # Save variables transformed space
             if "Transformation" in list(input_data.keys()):
                 self.metrics.add_metric_batch({"KL_best": input_data["KL_best_transformed"]})
@@ -164,7 +169,7 @@ def postprocess(self, input_data: dict, config: dict, **kwargs):
     @abstractmethod
     def data_load(self, gen_mod: dict, config: dict) -> dict:
         """
-        Helps to ensure that the model can effectively learn the underlying 
+        Helps to ensure that the model can effectively learn the underlying
         patterns and structure of the data, and produce high-quality outputs.
 
         :param gen_mod: dictionary with collected information of the previous modules
@@ -207,12 +212,12 @@ def evaluate(self, solution: any) -> (dict, float):
     @staticmethod
     def tb_to_pd(logdir: str, rep: str) -> None:
         """
-        Converts TensorBoard event files in the specified log directory 
+        Converts TensorBoard event files in the specified log directory
         into a pandas DataFrame and saves it as a pickle file.
 
         :param logdir: path to the log directory containing TensorBoard event files
-        :type logdir: str 
-        
+        :type logdir: str
+
         """
         event_acc = EventAccumulator(logdir)
         event_acc.Reload()
diff --git a/src/modules/applications/QML/generative_modeling/mappings/CustomQiskitNoisyBackend.py b/src/modules/applications/QML/generative_modeling/mappings/CustomQiskitNoisyBackend.py
new file mode 100644
index 00000000..c16a10d7
--- /dev/null
+++ b/src/modules/applications/QML/generative_modeling/mappings/CustomQiskitNoisyBackend.py
@@ -0,0 +1,398 @@
+#  Copyright 2021 The QUARK Authors. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+from typing import Union
+import logging
+from time import perf_counter
+
+from qiskit import QuantumCircuit
+from qiskit.circuit import Parameter
+from qiskit.compiler import transpile, assemble
+from qiskit.transpiler import CouplingMap
+from qiskit.providers import Backend
+from qiskit import Aer
+from qiskit_aer import AerSimulator
+from qiskit_aer import noise
+from qiskit_aer.noise import NoiseModel
+# from qiskit_ibm_runtime import QiskitRuntimeService
+import numpy as np
+
+from modules.training.QCBM import QCBM
+from modules.training.Inference import Inference
+from modules.applications.QML.generative_modeling.mappings.Library import Library
+
+logging.getLogger("NoisyQiskit").setLevel(logging.WARNING)
+
+
+def split_string(s):
+    return s.split(' ', 1)[0]
+
+
+class CustomQiskitNoisyBackend(Library):
+    """
+    This module maps a library-agnostic gate sequence to a qiskit circuit
+    """
+
+    def __init__(self):
+        """
+        Constructor method
+        """
+        super().__init__("NoisyQiskit")
+        self.submodule_options = ["QCBM", "Inference"]
+
+    circuit_transpiled = None
+
+    @staticmethod
+    def get_requirements() -> list[dict]:
+        """
+        Returns requirements of this module
+
+        :return: list of dict with requirements of this module
+        :rtype: list[dict]
+        """
+        return [
+            {
+                "name": "qiskit",
+                "version": "0.45.0"
+            },
+            # {
+            #    "name": "qiskit_ibm_runtime",
+            #      "version": "0.10.0"
+            # },
+            {
+                "name": "qiskit_aer",
+                "version": "0.11.2"
+            },
+            {
+                "name": "numpy",
+                "version": "1.23.5"
+            },
+            {
+                "name": "qiskit-ibmq-provider",
+                "version": "0.19.2"
+            }
+        ]
+
+    def get_parameter_options(self) -> dict:
+        """
+        Returns the configurable settings for the Qiskit Library.
+
+        :return:
+                 .. code-block:: python
+
+                        return {
+                            "backend": {
+                                "values": ["aer_statevector_simulator_gpu", "aer_statevector_simulator_cpu",
+                                           "cusvaer_simulator (only available in cuQuantum applicance)",
+                                           "aer_simulator_gpu",
+                                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1"],
+                                "description": "Which backend do you want to use? (aer_statevector_simulator
+                                                uses the measurement probability vector, the others are shot based)"
+                            },
+
+                            "n_shots": {
+                                "values": [100, 1000, 10000, 1000000],
+                                "description": "How many shots do you want use for estimating the PMF of the model?
+                                                (If the aer_statevector_simulator selected,
+                                                only relevant for studying generalization)"
+                            }
+                        }
+
+        """
+        value_list = []
+        value_list.append('Custom configurations')
+        value_list.append('No noise')
+        return {
+            "backend": {
+                "values": ["aer_simulator_gpu", "aer_simulator_cpu"],
+                "description": "Which backend do you want to use? "
+                               "In the NoisyQiskit module only aer_simulators can be used."
+            },
+
+            "simulation_method": {
+                "values": ["automatic", "statevector", "density_matrix", "cpu_mps"],  # TODO Change names!
+                "description": "What simulation method should be used?"
+            },
+
+            "n_shots": {
+                "values": [100, 1000, 10000, 1000000],
+                "description": "How many shots do you want use for estimating the PMF of the model?"
+                # (If the aer_statevector_simulator selected, only relevant for studying generalization)"
+            },
+
+            "transpile_optimization_level": {
+                "values": [1, 2, 3, 0],
+                "description": "Switch between different optimization levels in the Qiskit transpile routine. "
+                               "1: light optimization, 2: heavy optimization, 3: even heavier optimization, "
+                               "0: no optimization. Level 1 recommended as standard option."
+            },
+
+            "noise_configuration": {
+                "values": value_list,
+                "description": "What noise configuration do you want to use?"
+            },
+            "custom_readout_error": {
+                "values": [0, 0.005, 0.01, 0.02, 0.05, 0.07, 0.1, 0.2],
+                "description": "Add a custom readout error."
+            },
+            "two_qubit_depolarizing_errors": {
+                "values": [0, 0.005, 0.01, 0.02, 0.05, 0.07, 0.1, 0.2]
+                ,
+                "description": "Add a custom 2-qubit gate depolarizing error."
+            },
+            "one_qubit_depolarizing_errors": {
+                "values": [0, 0.0001, 0.0005, 0.001, 0.005, 0.007, 0.01, 0.02]
+                ,
+                "description": "Add a 1-qubit gate depolarizing error."
+            },
+            "qubit_layout": {
+                # "values": [None, 'linear', 'circle', 'fully_connected', 'ibm_brisbane'],
+                "values": [None, 'linear', 'circle', 'fully_connected'],
+                "description": "How should the qubits be connected in the simulated chip: coupling_map "
+            }
+        }
+
+    def get_default_submodule(self, option: str) -> Union[QCBM, Inference]:
+
+        if option == "QCBM":
+            return QCBM()
+        elif option == "Inference":
+            return Inference()
+        else:
+            raise NotImplementedError(f"Option {option} not implemented")
+
+    def sequence_to_circuit(self, input_data: dict) -> dict:
+        """
+        Maps the gate sequence, that specifies the architecture of a quantum circuit
+        to its Qiskit implementation.
+
+        :param input_data: Collected information of the benchmarking process
+        :type input_data: dict
+        :return: Same dictionary but the gate sequence is replaced by it Qiskit implementation
+        :rtype: dict
+        """
+        n_qubits = input_data["n_qubits"]
+        gate_sequence = input_data["gate_sequence"]
+        circuit = QuantumCircuit(n_qubits, n_qubits)
+        param_counter = 0
+        for gate, wires in gate_sequence:
+            if gate == "Hadamard":
+                circuit.h(wires[0])
+            elif gate == "X":
+                circuit.x(wires[0])
+            elif gate == "SX":
+                circuit.sx(wires[0])
+            elif gate == "RZ_PI/2":
+                circuit.rz(np.pi / 2, wires[0])
+            elif gate == "CNOT":
+                circuit.cnot(wires[0], wires[1])
+            elif gate == "ECR":
+                circuit.ecr(wires[0], wires[1])
+            elif gate == "RZ":
+                circuit.rz(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RX":
+                circuit.rx(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RY":
+                circuit.ry(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RXX":
+                circuit.rxx(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "RYY":
+                circuit.ryy(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "RZZ":
+                circuit.rzz(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "CRY":
+                circuit.cry(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "Barrier":
+                circuit.barrier()
+            elif gate == "Measure":
+                circuit.measure(wires[0], wires[0])
+            else:
+                raise NotImplementedError(f"Gate {gate} not implemented")
+
+        input_data["circuit"] = circuit
+        input_data.pop("gate_sequence")
+        logging.info(param_counter)
+        return input_data
+
+    @staticmethod
+    def select_backend(config: str) -> dict:
+        """
+        This method configures the backend
+
+        :param config: Name of a backend
+        :type config: str
+        :return: Configured qiskit backend
+        :rtype: qiskit.providers.Backend
+        """
+
+        if config == "aer_simulator_gpu":
+            # from qiskit import Aer  # pylint: disable=C0415
+            backend = Aer.get_backend("aer_simulator")
+            backend.set_options(device="GPU")
+
+        elif config == "aer_simulator_cpu":
+            # from qiskit import Aer  # pylint: disable=C0415
+            backend = Aer.get_backend("aer_simulator")
+            backend.set_options(device="CPU")
+
+        else:
+            raise NotImplementedError(f"Device Configuration {config} not implemented")
+
+        return backend
+
+    def get_execute_circuit(self, circuit: QuantumCircuit, backend: Backend, config: str, config_dict: dict) \
+            -> callable:  # pylint: disable=W0221
+        """
+        This method combines the qiskit circuit implementation and the selected backend and returns a function,
+        that will be called during training.
+
+        :param circuit: Qiskit implementation of the quantum circuit
+        :type circuit: qiskit.circuit.QuantumCircuit
+        :param backend: Configured qiskit backend
+        :type backend: qiskit.providers.Backend
+        :param config: Name of a backend
+        :type config: str
+        :param config_dict: Contains information about config
+        :type config_dict: dict
+        :return: Method that executes the quantum circuit for a given set of parameters
+        :rtype: callable
+        """
+        n_shots = config_dict["n_shots"]
+        n_qubits = circuit.num_qubits
+        start = perf_counter()
+
+        backend = self.decompile_noisy_config(config_dict, n_qubits)
+        logging.info(f'Backend in Use: {backend=}')
+        optimization_level = self.get_transpile_routine(config_dict['transpile_optimization_level'])
+        seed_transp = 42 # Remove seed if wanted
+        logging.info(f'Using {optimization_level=} with seed: {seed_transp}')
+        circuit_transpiled = transpile(circuit, backend=backend, optimization_level=optimization_level,
+                                       seed_transpiler=seed_transp)
+        logging.info(f'Circuit operations before transpilation: {circuit.count_ops()}')
+        logging.info(f'Circuit operations before transpilation: {circuit_transpiled.count_ops()}')
+        logging.info(perf_counter() - start)
+
+
+        if config in ["aer_simulator_cpu", "aer_simulator_gpu"]:
+            def execute_circuit(solutions):
+
+                all_circuits = [circuit_transpiled.bind_parameters(solution) for solution in solutions]
+                qobjs = assemble(all_circuits, backend=backend)
+                jobs = backend.run(qobjs, shots=n_shots)
+                samples_dictionary = [jobs.result().get_counts(circuit).int_outcomes() for circuit in all_circuits]
+                samples = []
+                for result in samples_dictionary:
+                    target_iter = np.zeros(2 ** n_qubits)
+                    result_keys = list(result.keys())
+                    result_vals = list(result.values())
+                    target_iter[result_keys] = result_vals
+                    target_iter = np.asarray(target_iter)
+                    samples.append(target_iter)
+                samples = np.asarray(samples)
+                pmfs = samples / n_shots
+
+                return pmfs, samples
+
+        return execute_circuit, circuit_transpiled
+
+
+    @staticmethod
+    def split_string(s):
+        return s.split(' ', 1)[0]
+
+    def decompile_noisy_config(self, config_dict, num_qubits):
+        backend_config = config_dict['backend']
+        device = 'GPU' if 'gpu' in backend_config else 'CPU'
+        simulation_method, device = self.get_simulation_method_and_device(device, config_dict['simulation_method'])
+
+        backend = self.get_custom_config(config_dict, num_qubits) \
+            if config_dict['noise_configuration'] == "Custom configurations" else Aer.get_backend("aer_simulator")
+
+        backend.set_options(device=device, method=simulation_method)
+        self.log_backend_options(backend)
+
+        return backend
+
+    def get_simulation_method_and_device(self, device, simulation_config):
+        simulation_method = {
+            "statevector": "statevector",
+            "density_matrix": "density_matrix",
+            "cpu_mps": "matrix_product_state"
+        }.get(simulation_config, 'automatic')
+
+        if simulation_config == "cpu_mps":
+            device = 'CPU'
+
+        return simulation_method, device
+
+    def get_transpile_routine(self, transpile_config):
+        return transpile_config if transpile_config in [0, 1, 2, 3] else 1
+
+    def get_custom_config(self, config_dict, num_qubits):
+        noise_model = self.build_noise_model(config_dict)
+        coupling_map = self.get_coupling_map(config_dict, num_qubits)
+        backend = AerSimulator(noise_model=noise_model,
+                               coupling_map=coupling_map) if coupling_map is not None else AerSimulator(
+            noise_model=noise_model)
+        return backend
+
+    def build_noise_model(self, config_dict):
+        noise_model = NoiseModel()
+        if config_dict['custom_readout_error']:
+            readout_error = config_dict['custom_readout_error']
+            noise_model.add_all_qubit_readout_error(
+                [[1 - readout_error, readout_error], [readout_error, 1 - readout_error]])
+
+        self.add_quantum_errors(noise_model, config_dict)
+        return noise_model
+
+    def add_quantum_errors(self, noise_model, config_dict):
+        if config_dict['two_qubit_depolarizing_errors'] is not None:
+            two_qubit_error = noise.depolarizing_error(config_dict['two_qubit_depolarizing_errors'], 2)
+            for gate in ['cx', 'ecr', 'rxx']:
+                noise_model.add_all_qubit_quantum_error(two_qubit_error, gate)
+
+        if config_dict['one_qubit_depolarizing_errors'] is not None:
+            one_qubit_error = noise.depolarizing_error(config_dict['one_qubit_depolarizing_errors'], 1)
+            for gate in ['sx', 'x', 'rx', 'ry', 'rz', 'h', 's']:
+                noise_model.add_all_qubit_quantum_error(one_qubit_error, gate)
+
+    def get_coupling_map(self, config_dict, num_qubits):
+        layout = config_dict['qubit_layout']
+        if layout == 'linear':
+            return CouplingMap.from_line(num_qubits)
+        elif layout == 'circle':
+            return CouplingMap.from_ring(num_qubits)
+        elif layout == 'fully_connected':
+            return CouplingMap.from_full(num_qubits)
+        # elif layout == "ibm_brisbane":
+            # service = QiskitRuntimeService()
+             #backend = service.backend("ibm_brisbane")
+            # logging.info(f'Loaded with IBMQ Account {backend.name}, {backend.version}, {backend.num_qubits}')
+            # return backend.coupling_map
+        elif layout is None:
+            logging.info('No coupling map specified, using default.')
+            return None
+        else:
+            raise ValueError(f"Unknown qubit layout: {layout}")
+
+    def log_backend_options(self, backend):
+        logging.info(f'Backend configuration: {backend.configuration()}')
+        logging.info(f'Simulation method: {backend.options.method}')
diff --git a/src/modules/applications/QML/generative_modeling/mappings/Library.py b/src/modules/applications/QML/generative_modeling/mappings/Library.py
index 35b23e9a..14bf3f2f 100644
--- a/src/modules/applications/QML/generative_modeling/mappings/Library.py
+++ b/src/modules/applications/QML/generative_modeling/mappings/Library.py
@@ -61,16 +61,15 @@ def preprocess(self, input_data: dict, config: Config, **kwargs):
         :return: Dictionary including the function to execute the quantum cicrcuit on a simulator or on quantum hardware
         :rtype: (dict, float)
         """
-
         start = start_time_measurement()
 
         output = self.sequence_to_circuit(input_data)
         backend = self.select_backend(config["backend"])
-        output["execute_circuit"] = self.get_execute_circuit(
+        output["execute_circuit"], output['circuit_transpiled'] = self.get_execute_circuit(
             output["circuit"],
             backend,
             config["backend"],
-            config["n_shots"])
+            config_dict=config)
         output["backend"] = config["backend"]
         output["n_shots"] = config["n_shots"]
         logging.info("Library created")
@@ -101,7 +100,7 @@ def sequence_to_circuit(self, input_data):
 
     @staticmethod
     @abstractmethod
-    def get_execute_circuit(circuit: QuantumCircuit, backend: Backend, config: str, n_shots: int):
+    def get_execute_circuit(circuit: QuantumCircuit, backend: Backend, config: str, config_dict: dict):
         pass
 
     @staticmethod
diff --git a/src/modules/applications/QML/generative_modeling/mappings/LibraryQiskit.py b/src/modules/applications/QML/generative_modeling/mappings/LibraryQiskit.py
index c10fea18..8149496d 100644
--- a/src/modules/applications/QML/generative_modeling/mappings/LibraryQiskit.py
+++ b/src/modules/applications/QML/generative_modeling/mappings/LibraryQiskit.py
@@ -14,7 +14,7 @@
 
 from typing import Union
 import logging
-
+# from qiskit_ibm_runtime import QiskitRuntimeService, Sampler
 from qiskit import QuantumCircuit
 from qiskit.circuit import Parameter
 from qiskit.compiler import transpile, assemble
@@ -51,12 +51,20 @@ def get_requirements() -> list[dict]:
         return [
             {
                 "name": "qiskit",
-                "version": "0.40.0"
+                "version": "0.45.0"
             },
+            # {
+            #    "name": "qiskit_ibm_runtime",
+            #      "version": "0.10.0"
+            # },
             {
                 "name": "numpy",
                 "version": "1.23.5"
             },
+            {
+                "name": "qiskit-ibmq-provider",
+                "version": "0.19.2"
+            }
         ]
 
     def get_parameter_options(self) -> dict:
@@ -67,32 +75,32 @@ def get_parameter_options(self) -> dict:
                  .. code-block:: python
 
                         return {
-                            "backend": {
-                                "values": ["aer_statevector_simulator_gpu", "aer_statevector_simulator_cpu",
-                                           "cusvaer_simulator (only available in cuQuantum applicance)",
-                                           "aer_simulator_gpu",
-                                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1"],
-                                "description": "Which backend do you want to use? (aer_statevector_simulator
-                                                uses the measurement probability vector, the others are shot based)"
-                            },
-
-                            "n_shots": {
-                                "values": [100, 1000, 10000, 1000000],
-                                "description": "How many shots do you want use for estimating the PMF of the model?
-                                                (If the aer_statevector_simulator selected, 
-                                                only relevant for studying generalization)"
-                            }
-                        }
+            "backend": {
+                "values": ["aer_statevector_simulator_gpu", "aer_statevector_simulator_cpu",
+                           "cusvaer_simulator (only available in cuQuantum applicance)", "aer_simulator_gpu",
+                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1",
+                           "simulator_statevector IBM Quantum Platform", "ibm_brisbane IBM Quantum Platform"],
+                "description": "Which backend do you want to use? (aer_statevector_simulator\
+                             uses the measurement probability vector, the others are shot based)"
+            },
+
+            "n_shots": {
+                "values": [100, 1000, 10000, 1000000],
+                "description": "How many shots do you want use for estimating the PMF of the model?\
+                 (If the aer_statevector_simulator selected, only relevant for studying generalization)"
+            }
+        }
 
         """
         return {
             "backend": {
                 "values": ["aer_statevector_simulator_gpu", "aer_statevector_simulator_cpu",
                            "cusvaer_simulator (only available in cuQuantum applicance)", "aer_simulator_gpu",
-                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1"],
+                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1", "ibm_brisbane IBM Quantum Platform"],
                 "description": "Which backend do you want to use? (aer_statevector_simulator\
                              uses the measurement probability vector, the others are shot based)"
             },
+            #TODO Discuss: Use IBM Eagle (so 1 of 3) or IBM Brisbane so one specific?
 
             "n_shots": {
                 "values": [100, 1000, 10000, 1000000],
@@ -217,6 +225,18 @@ def select_backend(config: str) -> dict:
             backend = Aer.get_backend('statevector_simulator')
             backend.set_options(device="CPU")
 
+        # elif config == "simulator_statevector IBM Quantum Platform":
+            # define token here once
+            # service = QiskitRuntimeService(token='TOKEN')
+            # service = QiskitRuntimeService()
+            # backend = service.get_backend('simulator_statevector')
+
+        # elif config == "ibm_brisbane IBM Quantum Platform":
+            #define token here once
+            #service = QiskitRuntimeService(token='TOKEN')
+            # service = QiskitRuntimeService()
+            # backend = service.get_backend('ibm_brisbane')
+
         elif config == "ionQ_Harmony":
             from modules.devices.braket.Ionq import Ionq # pylint: disable=C0415
             from qiskit_braket_provider import AWSBraketBackend, AWSBraketProvider # pylint: disable=C0415
@@ -249,22 +269,24 @@ def select_backend(config: str) -> dict:
         return backend
 
     @staticmethod
-    def get_execute_circuit(circuit: QuantumCircuit, backend: Backend, config: str, n_shots: int) -> callable:
+    def get_execute_circuit(circuit: QuantumCircuit, backend: Backend, config: str, config_dict: dict) \
+            -> callable:  # pylint: disable=W0221,R0915
         """
-        This method combnines the qiskit circuit implemenation and the selected backend and returns a function, 
-        that will be called during training. 
+        This method combines the qiskit circuit implementation and the selected backend and returns a function,
+        that will be called during training.
 
-        :param circuit: Qiskit implementation of the quantum circuit 
+        :param circuit: Qiskit implementation of the quantum circuit
         :type circuit: qiskit.circuit.QuantumCircuit
         :param backend: Configured qiskit backend
         :type backend: qiskit.providers.Backend
         :param config: Name of a backend
         :type config: str
-        :param n_shots: The number of times the circuit is run 
-        :type n_shots: int
+        :param config_dict: Contains information about config
+        :type config_dict: dict
         :return: Method that executes the quantum circuit for a given set of parameters
         :rtype: callable
         """
+        n_shots = config_dict["n_shots"]
         n_qubits = circuit.num_qubits
         circuit_transpiled = transpile(circuit, backend=backend)
 
@@ -324,4 +346,27 @@ def execute_circuit(solutions):
                 pmfs = samples / n_shots
                 return pmfs, samples
 
-        return execute_circuit
+        elif config in ["simulator_statevector IBM Quantum Platform", "ibm_brisbane IBM Quantum Platform"]:
+            def execute_circuit(solutions, *kwargs):
+
+                """
+                This function will submit the circuits with different parameter individually.
+                If you want to deploy a circuit to ibm for inference, we recommend using a Jupyter Notebook.
+                """
+                # all_circuits = [circuit_transpiled.bind_parameters(solution) for solution in solutions]
+                # service = QiskitRuntimeService()
+                samples_dictionary = []
+                samples = []
+                for result in samples_dictionary:
+                    target_iter = np.zeros(2 ** n_qubits)
+                    result_keys = list(result.keys())
+                    result_vals = np.abs(list(result.values()))
+                    # To ensure no negative values from the quasi ditribution are taken.
+                    target_iter[result_keys] = result_vals
+                    target_iter = np.asarray(target_iter)
+                    samples.append(target_iter)
+                samples = np.asarray(samples)
+                pmfs = samples
+                return pmfs, samples
+
+        return execute_circuit, circuit_transpiled
diff --git a/src/modules/applications/QML/generative_modeling/mappings/PresetQiskitNoisyBackend.py b/src/modules/applications/QML/generative_modeling/mappings/PresetQiskitNoisyBackend.py
new file mode 100644
index 00000000..b2155d99
--- /dev/null
+++ b/src/modules/applications/QML/generative_modeling/mappings/PresetQiskitNoisyBackend.py
@@ -0,0 +1,380 @@
+#  Copyright 2021 The QUARK Authors. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+from typing import Union
+import logging
+from time import perf_counter
+
+from qiskit import QuantumCircuit
+from qiskit.circuit import Parameter
+from qiskit.providers.fake_provider import FakeProviderForBackendV2
+from qiskit.providers.fake_provider import *
+from qiskit.compiler import transpile, assemble
+from qiskit.providers import Backend
+from qiskit import Aer
+from qiskit_aer import AerSimulator
+from qiskit_aer.noise import NoiseModel
+# from qiskit_ibm_runtime import QiskitRuntimeService
+import numpy as np
+
+from modules.training.QCBM import QCBM
+from modules.training.Inference import Inference
+from modules.applications.QML.generative_modeling.mappings.Library import Library
+
+logging.getLogger("NoisyQiskit").setLevel(logging.WARNING)
+
+
+class PresetQiskitNoisyBackend(Library):
+    """
+    This module maps a library-agnostic gate sequence to a qiskit circuit.
+    """
+
+    def __init__(self):
+        """
+        Constructor method
+        """
+        super().__init__("PresetQiskitNoisyBackend")
+        self.submodule_options = ["QCBM", "Inference"]
+
+    circuit_transpiled = None
+
+    @staticmethod
+    def get_requirements() -> list[dict]:
+        """
+        Returns requirements of this module
+
+        :return: list of dict with requirements of this module
+        :rtype: list[dict]
+        """
+        return [
+            {
+                "name": "qiskit",
+                "version": "0.45.0"
+            },
+            # {
+            #    "name": "qiskit_ibm_runtime",
+            #      "version": "0.10.0"
+            # },
+            {
+                "name": "qiskit_aer",
+                "version": "0.11.2"
+            },
+            {
+                "name": "numpy",
+                "version": "1.23.5"
+            },
+            {
+                "name": "qiskit-ibmq-provider",
+                "version": "0.19.2"
+            }
+        ]
+
+    def get_parameter_options(self) -> dict:
+        """
+        Returns the configurable settings for the Qiskit Library.
+
+        :return:
+                 .. code-block:: python
+
+                        return {
+                            "backend": {
+                                "values": ["aer_statevector_simulator_gpu", "aer_statevector_simulator_cpu",
+                                           "cusvaer_simulator (only available in cuQuantum applicance)",
+                                           "aer_simulator_gpu",
+                                           "aer_simulator_cpu", "ionQ_Harmony", "Amazon_SV1"],
+                                "description": "Which backend do you want to use? (aer_statevector_simulator
+                                                uses the measurement probability vector, the others are shot based)"
+                            },
+
+                            "n_shots": {
+                                "values": [100, 1000, 10000, 1000000],
+                                "description": "How many shots do you want use for estimating the PMF of the model?
+                                                (If the aer_statevector_simulator selected,
+                                                only relevant for studying generalization)"
+                            }
+                        }
+
+        """
+
+        provider = FakeProviderForBackendV2()
+        backends = provider.backends()
+        value_list = []
+        value_list.append('No noise')
+        # value_list.append('ibm_osaka 127 Qubits')
+        # value_list.append('ibm_brisbane 127 Qubits')
+        for backend in backends:
+            if backend.num_qubits >= 6:
+                value_list.append(f'{backend.name} V{backend.version} {backend.num_qubits} Qubits')
+
+        return {
+            "backend": {
+                "values": ["aer_simulator_gpu", "aer_simulator_cpu"],
+                "description": "Which backend do you want to use? "
+                               "In the NoisyQiskit Module only aer_simulators can be used."
+            },
+
+            "simulation_method": {
+                "values": ["automatic", "statevector", "density_matrix", "cpu_mps"],  # TODO Change names
+                "description": "What simulation methode should be used"
+            },
+
+            "n_shots": {
+                "values": [100, 1000, 10000, 1000000],
+                "description": "How many shots do you want use for estimating the PMF of the model?"
+                # (If the aer_statevector_simulator selected, only relevant for studying generalization)"
+            },
+
+            "transpile_optimization_level": {
+                "values": [1, 2, 3, 0],
+                "description": "Switch between different optimization levels in the Qiskit transpile routine. "
+                               "1: light optimization, 2: heavy optimization, 3: even heavier optimization, "
+                               "0: no optimization. Level 1 recommended as standard option."
+            },
+
+            "noise_configuration": {
+                "values": value_list,
+                "description": "What noise configuration do you want to use?"
+            }
+        }
+
+    def get_default_submodule(self, option: str) -> Union[QCBM, Inference]:
+
+        if option == "QCBM":
+            return QCBM()
+        elif option == "Inference":
+            return Inference()
+        else:
+            raise NotImplementedError(f"Option {option} not implemented")
+
+    def sequence_to_circuit(self, input_data: dict) -> dict:
+        """
+        Maps the gate sequence, that specifies the architecture of a quantum circuit
+        to its Qiskit implementation.
+
+        :param input_data: Collected information of the benchmarking process
+        :type input_data: dict
+        :return: Same dictionary but the gate sequence is replaced by it Qiskit implementation
+        :rtype: dict
+        """
+        n_qubits = input_data["n_qubits"]
+        gate_sequence = input_data["gate_sequence"]
+        circuit = QuantumCircuit(n_qubits, n_qubits)
+        param_counter = 0
+        for gate, wires in gate_sequence:
+            if gate == "Hadamard":
+                circuit.h(wires[0])
+            elif gate == "X":
+                circuit.x(wires[0])
+            elif gate == "SX":
+                circuit.sx(wires[0])
+            elif gate == "RZ_PI/2":
+                circuit.rz(np.pi / 2, wires[0])
+            elif gate == "CNOT":
+                circuit.cnot(wires[0], wires[1])
+            elif gate == "ECR":
+                circuit.ecr(wires[0], wires[1])
+            elif gate == "RZ":
+                circuit.rz(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RX":
+                circuit.rx(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RY":
+                circuit.ry(Parameter(f"x_{param_counter:03d}"), wires[0])
+                param_counter += 1
+            elif gate == "RXX":
+                circuit.rxx(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "RYY":
+                circuit.ryy(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "RZZ":
+                circuit.rzz(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "CRY":
+                circuit.cry(Parameter(f"x_{param_counter:03d}"), wires[0], wires[1])
+                param_counter += 1
+            elif gate == "Barrier":
+                circuit.barrier()
+            elif gate == "Measure":
+                circuit.measure(wires[0], wires[0])
+            else:
+                raise NotImplementedError(f"Gate {gate} not implemented")
+
+        input_data["circuit"] = circuit
+        input_data.pop("gate_sequence")
+        logging.info(param_counter)
+        return input_data
+
+    @staticmethod
+    def select_backend(config: str) -> dict:
+        """
+        This method configures the backend
+
+        :param config: Name of a backend
+        :type config: str
+        :return: Configured qiskit backend
+        :rtype: qiskit.providers.Backend
+        """
+
+        if config == "aer_simulator_gpu":
+            # from qiskit import Aer  # pylint: disable=C0415
+            backend = Aer.get_backend("aer_simulator")
+            backend.set_options(device="GPU")
+
+        elif config == "aer_simulator_cpu":
+            # from qiskit import Aer  # pylint: disable=C0415
+            backend = Aer.get_backend("aer_simulator")
+            backend.set_options(device="CPU")
+
+        else:
+            raise NotImplementedError(f"Device Configuration {config} not implemented")
+
+        return backend
+
+    def get_execute_circuit(self, circuit: QuantumCircuit, backend: Backend, config: str,
+                            config_dict: dict) -> callable:  # pylint: disable=W0221
+        """
+        This method combines the qiskit circuit implementation and the selected backend and returns a function,
+        that will be called during training.
+
+        :param circuit: Qiskit implementation of the quantum circuit
+        :type circuit: qiskit.circuit.QuantumCircuit
+        :param backend: Configured qiskit backend
+        :type backend: qiskit.providers.Backend
+        :param config: Name of a backend
+        :type config: str
+        :param config_dict: Contains information about config
+        :type config_dict: dict
+        :return: Method that executes the quantum circuit for a given set of parameters
+        :rtype: callable
+        """
+        n_shots = config_dict["n_shots"]
+        n_qubits = circuit.num_qubits
+        start = perf_counter()
+
+        backend = self.decompile_noisy_config(config_dict, n_qubits)
+        logging.info(f'Backend in Use: {backend=}')
+        optimization_level = self.get_transpile_routine(config_dict['transpile_optimization_level'])
+        seed_transp = 42  # Remove seed if wanted
+        logging.info(f'Using {optimization_level=} with seed: {seed_transp}')
+        circuit_transpiled = transpile(circuit, backend=backend, optimization_level=optimization_level,
+                                       seed_transpiler=seed_transp)
+        logging.info(f'Circuit operations before transpilation: {circuit.count_ops()}')
+        logging.info(f'Circuit operations before transpilation: {circuit_transpiled.count_ops()}')
+        logging.info(perf_counter() - start)
+
+        if config in ["aer_simulator_cpu", "aer_simulator_gpu"]:
+            def execute_circuit(solutions):
+
+                all_circuits = [circuit_transpiled.bind_parameters(solution) for solution in solutions]
+                qobjs = assemble(all_circuits, backend=backend)
+                jobs = backend.run(qobjs, shots=n_shots)
+                samples_dictionary = [jobs.result().get_counts(circuit).int_outcomes() for circuit in all_circuits]
+                samples = []
+                for result in samples_dictionary:
+                    target_iter = np.zeros(2 ** n_qubits)
+                    result_keys = list(result.keys())
+                    result_vals = list(result.values())
+                    target_iter[result_keys] = result_vals
+                    target_iter = np.asarray(target_iter)
+                    samples.append(target_iter)
+                samples = np.asarray(samples)
+                pmfs = samples / n_shots
+
+                return pmfs, samples
+
+        return execute_circuit, circuit_transpiled
+
+    @staticmethod
+    def split_string(s):
+        return s.split(' ', 1)[0]
+
+    def decompile_noisy_config(self, config_dict, num_qubits):
+        backend_config = config_dict['backend']
+        device = 'GPU' if 'gpu' in backend_config else 'CPU'
+        simulation_method, device = self.get_simulation_method_and_device(device, config_dict['simulation_method'])
+        backend = self.select_backend_configuration(config_dict['noise_configuration'], num_qubits)
+
+        self.configure_backend(backend, device, simulation_method)
+        self.log_backend_info(backend)
+
+        return backend
+
+    def select_backend_configuration(self, noise_configuration, num_qubits):
+        if "fake" in noise_configuration:
+            return self.get_FakeBackend(noise_configuration, num_qubits)
+        elif noise_configuration == "No noise":
+            return Aer.get_backend("aer_simulator")
+        elif noise_configuration in ['ibm_brisbane 127 Qubits', 'ibm_osaka 127 Qubits']:
+            logging.warning("Not yet implemented. Please check upcoming QUARK versions.")
+            raise ValueError(f"Noise configuration '{noise_configuration}' not yet implemented.")
+            # return self.get_ibm_backend(noise_configuration)
+        else:
+            raise ValueError(f"Unknown noise configuration: {noise_configuration}")
+
+    # def get_ibm_backend(self, backend_name):
+        # service = QiskitRuntimeService()
+        # backend_identifier = backend_name.replace(' 127 Qubits', '').lower()
+        # backend = service.backend(backend_identifier)
+        # noise_model = NoiseModel.from_backend(backend)
+        # logging.info(f'Loaded with IBMQ Account {backend.name}, {backend.version}, {backend.num_qubits}')
+        # simulator = AerSimulator.from_backend(backend)
+        # simulator.noise_model = noise_model
+        # return simulator
+
+    def configure_backend(self, backend, device, simulation_method):
+        backend.set_options(device=device)
+        backend.set_options(method=simulation_method)
+
+    def log_backend_info(self, backend):
+        logging.info(f'Backend configuration: {backend.configuration()}')
+        logging.info(f'Simulation method: {backend.options.method}')
+
+    def get_simulation_method_and_device(self, device, simulation_config):
+        simulation_methods = {
+            "statevector": "statevector",
+            "density_matrix": "density_matrix",
+            "cpu_mps": "matrix_product_state"
+        }
+        simulation_method = simulation_methods.get(simulation_config, 'automatic')
+        if simulation_config == "cpu_mps":
+            device = 'CPU'
+        return simulation_method, device
+
+    def get_transpile_routine(self, transpile_config):
+        return transpile_config if transpile_config in [0, 1, 2, 3] else 1
+
+    def get_FakeBackend(self, noise_configuration, num_qubits):
+        backend_name = str(self.split_string(noise_configuration))
+        provider = FakeProviderForBackendV2()
+        try:
+            backend = provider.get_backend(backend_name)
+        except TypeError:
+            logging.info("qiskit.providers.fake_provider.FakeProviderForBackendV2.get_backend overwritten. "
+                         "Will be addressed with upcoming qiskit upgrade.")
+            filtered_backends = [backend for backend in provider._backends if  # pylint: disable=W0212
+                                 backend.name == backend_name]
+            if not filtered_backends:
+                raise FileNotFoundError()  # pylint: disable=W0707
+            backend = filtered_backends[0]
+
+        if num_qubits > backend.num_qubits:
+            logging.warning(
+                f'Requested number of qubits ({num_qubits}) exceeds the backend capacity. Using default aer_simulator.')
+            return Aer.get_backend("aer_simulator")
+
+        noise_model = NoiseModel.from_backend(backend)
+        logging.info(f'Using {backend_name} with coupling map: {backend.coupling_map}')
+        logging.info(f'Using {backend_name} with noise model: {noise_model}')
+        return AerSimulator.from_backend(backend)
diff --git a/src/modules/applications/QML/generative_modeling/transformations/MinMax.py b/src/modules/applications/QML/generative_modeling/transformations/MinMax.py
index 34e3cd84..0ef1a14a 100644
--- a/src/modules/applications/QML/generative_modeling/transformations/MinMax.py
+++ b/src/modules/applications/QML/generative_modeling/transformations/MinMax.py
@@ -132,6 +132,7 @@ def reverse_transform(self, input_data: dict) -> (any, float):
         n_qubits = input_data["n_qubits"]
         n_registers = self.transform_config["n_registers"]
         KL_best_transformed = min(input_data["KL"])
+        circuit_transpiled = input_data['circuit_transpiled']
 
         array_bins = Transformation.compute_discretization_efficient(n_qubits, n_registers)
         transformed_samples = Transformation.generate_samples_efficient(best_results, array_bins, n_registers,
@@ -170,7 +171,8 @@ def reverse_transform(self, input_data: dict) -> (any, float):
             "histogram_generated_original": histogram_generated_original,
             "histogram_generated": histogram_generated_transformed,
             "KL_best_transformed": KL_best_transformed,
-            "store_dir_iter": input_data["store_dir_iter"]
+            "store_dir_iter": input_data["store_dir_iter"],
+            "circuit_transpiled": circuit_transpiled
         }
 
         return reverse_config_trans
diff --git a/src/modules/applications/QML/generative_modeling/transformations/PIT.py b/src/modules/applications/QML/generative_modeling/transformations/PIT.py
index dee21acd..e1a08177 100644
--- a/src/modules/applications/QML/generative_modeling/transformations/PIT.py
+++ b/src/modules/applications/QML/generative_modeling/transformations/PIT.py
@@ -132,6 +132,7 @@ def reverse_transform(self, input_data: dict) -> (any, float):
         n_registers = self.transform_config["n_registers"]
         KL_best_transformed = min(input_data["KL"])
         best_results = input_data["best_sample"]
+        circuit_transpiled = input_data['circuit_transpiled']
 
         array_bins = self.compute_discretization_efficient(n_qubits, n_registers)
         transformed_samples = self.generate_samples_efficient(best_results, array_bins, n_registers, noisy=True)
@@ -169,7 +170,8 @@ def reverse_transform(self, input_data: dict) -> (any, float):
             "histogram_generated_original": histogram_generated_original,
             "histogram_generated": histogram_generated_transformed,
             "KL_best_transformed": KL_best_transformed,
-            "store_dir_iter": input_data["store_dir_iter"]
+            "store_dir_iter": input_data["store_dir_iter"],
+            "circuit_transpiled": circuit_transpiled
         }
 
         return reverse_config_trans
diff --git a/src/modules/circuits/CircuitCardinality.py b/src/modules/circuits/CircuitCardinality.py
index a533adcf..c594c64a 100644
--- a/src/modules/circuits/CircuitCardinality.py
+++ b/src/modules/circuits/CircuitCardinality.py
@@ -16,6 +16,9 @@
 
 from modules.circuits.Circuit import Circuit
 from modules.applications.QML.generative_modeling.mappings.LibraryQiskit import LibraryQiskit
+from modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend import PresetQiskitNoisyBackend
+from modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend import CustomQiskitNoisyBackend
+
 
 
 class CircuitCardinality(Circuit):
@@ -30,7 +33,7 @@ def __init__(self):
         Constructor method
         """
         super().__init__("CircuitCardinality")
-        self.submodule_options = ["LibraryQiskit"]
+        self.submodule_options = ["LibraryQiskit", "CustomQiskitNoisyBackend", "PresetQiskitNoisyBackend"]
 
     def get_parameter_options(self) -> dict:
         """
@@ -58,6 +61,10 @@ def get_parameter_options(self) -> dict:
     def get_default_submodule(self, option: str) -> LibraryQiskit:
         if option == "LibraryQiskit":
             return LibraryQiskit()
+        elif option == "PresetQiskitNoisyBackend":
+            return PresetQiskitNoisyBackend()
+        elif option == "CustomQiskitNoisyBackend":
+            return CustomQiskitNoisyBackend()
         else:
             raise NotImplementedError(f"Option {option} not implemented")
 
diff --git a/src/modules/circuits/CircuitCopula.py b/src/modules/circuits/CircuitCopula.py
index c1f97225..847bbd5b 100644
--- a/src/modules/circuits/CircuitCopula.py
+++ b/src/modules/circuits/CircuitCopula.py
@@ -19,6 +19,8 @@
 
 from modules.circuits.Circuit import Circuit
 from modules.applications.QML.generative_modeling.mappings.LibraryQiskit import LibraryQiskit
+from modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend import PresetQiskitNoisyBackend
+from modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend import CustomQiskitNoisyBackend
 
 
 class CircuitCopula(Circuit):
@@ -33,7 +35,7 @@ def __init__(self):
         Constructor method
         """
         super().__init__("DiscreteCopula")
-        self.submodule_options = ["LibraryQiskit"]
+        self.submodule_options = ["LibraryQiskit", "CustomQiskitNoisyBackend", "PresetQiskitNoisyBackend"]
 
     @staticmethod
     def get_requirements() -> list[dict]:
@@ -76,6 +78,10 @@ def get_parameter_options(self) -> dict:
     def get_default_submodule(self, option: str) -> LibraryQiskit:
         if option == "LibraryQiskit":
             return LibraryQiskit()
+        elif option == "PresetQiskitNoisyBackend":
+            return PresetQiskitNoisyBackend()
+        elif option == "CustomQiskitNoisyBackend":
+            return CustomQiskitNoisyBackend()
         else:
             raise NotImplementedError(f"Option {option} not implemented")
 
diff --git a/src/modules/circuits/CircuitStandard.py b/src/modules/circuits/CircuitStandard.py
index 86903fe1..e80349ef 100644
--- a/src/modules/circuits/CircuitStandard.py
+++ b/src/modules/circuits/CircuitStandard.py
@@ -16,6 +16,8 @@
 
 from modules.circuits.Circuit import Circuit
 from modules.applications.QML.generative_modeling.mappings.LibraryQiskit import LibraryQiskit
+from modules.applications.QML.generative_modeling.mappings.PresetQiskitNoisyBackend import PresetQiskitNoisyBackend
+from modules.applications.QML.generative_modeling.mappings.CustomQiskitNoisyBackend import CustomQiskitNoisyBackend
 
 
 class CircuitStandard(Circuit):
@@ -29,7 +31,7 @@ def __init__(self):
         Constructor method
         """
         super().__init__("DiscreteStandard")
-        self.submodule_options = ["LibraryQiskit"]
+        self.submodule_options = ["LibraryQiskit", "CustomQiskitNoisyBackend", "PresetQiskitNoisyBackend"]
 
     @staticmethod
     def get_requirements() -> list[dict]:
@@ -72,6 +74,10 @@ def get_parameter_options(self) -> dict:
     def get_default_submodule(self, option: str) -> LibraryQiskit:
         if option == "LibraryQiskit":
             return LibraryQiskit()
+        elif option == "PresetQiskitNoisyBackend":
+            return PresetQiskitNoisyBackend()
+        elif option == "CustomQiskitNoisyBackend":
+            return CustomQiskitNoisyBackend()
         else:
             raise NotImplementedError(f"Option {option} not implemented")
 
diff --git a/src/modules/solvers/QiskitQAOA.py b/src/modules/solvers/QiskitQAOA.py
index fb8b1b35..3ac64b07 100644
--- a/src/modules/solvers/QiskitQAOA.py
+++ b/src/modules/solvers/QiskitQAOA.py
@@ -23,7 +23,7 @@
 from qiskit.circuit.library import TwoLocal
 from qiskit.opflow import PauliSumOp
 from qiskit_optimization.applications import OptimizationApplication
-from qiskit_ibm_runtime import QiskitRuntimeService
+# from qiskit_ibm_runtime import QiskitRuntimeService
 
 from modules.solvers.Solver import *
 from utils import start_time_measurement, end_time_measurement
@@ -39,7 +39,8 @@ def __init__(self):
         Constructor method
         """
         super().__init__()
-        self.submodule_options = ["qasm_simulator", "qasm_simulator_gpu", "ibm_eagle"]
+        # self.submodule_options = ["qasm_simulator", "qasm_simulator_gpu", "ibm_eagle"]
+        self.submodule_options = ["qasm_simulator", "qasm_simulator_gpu"]
 
     @staticmethod
     def get_requirements() -> list[dict]:
@@ -52,7 +53,7 @@ def get_requirements() -> list[dict]:
         return [
             {
                 "name": "qiskit",
-                "version": "0.40.0"
+                "version": "0.45.0"
             },
             {
                 "name": "qiskit-optimization",
@@ -71,9 +72,9 @@ def get_default_submodule(self, option: str) -> Core:
         elif option == "qasm_simulator_gpu":
             from modules.devices.HelperClass import HelperClass  # pylint: disable=C0415
             return HelperClass("qasm_simulator_gpu")
-        elif option == "ibm_eagle":
-            from modules.devices.HelperClass import HelperClass  # pylint: disable=C0415
-            return HelperClass("ibm_eagle")
+        # elif option == "ibm_eagle":
+        #     from modules.devices.HelperClass import HelperClass  # pylint: disable=C0415
+        #     return HelperClass("ibm_eagle")
         else:
             raise NotImplementedError(f"Device Option {option} not implemented")
 
@@ -222,11 +223,11 @@ def _get_quantum_instance(device_wrapper: any) -> any:
             logging.info("Using GPU simulator")
             backend.set_options(device='GPU')
             backend.set_options(method='statevector_gpu')
-        elif device_wrapper.device == 'ibm_eagle':
-            logging.info("Using IBM Eagle")
-            ibm_quantum_token = os.environ.get('ibm_quantum_token')
-            service = QiskitRuntimeService(channel="ibm_quantum", token=ibm_quantum_token)
-            backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
+        # elif device_wrapper.device == 'ibm_eagle':
+        #     logging.info("Using IBM Eagle")
+        #     ibm_quantum_token = os.environ.get('ibm_quantum_token')
+        #     service = QiskitRuntimeService(channel="ibm_quantum", token=ibm_quantum_token)
+        #     backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
         else:
             logging.info("Using CPU simulator")
             backend.set_options(device='CPU')
diff --git a/src/modules/training/QCBM.py b/src/modules/training/QCBM.py
index 770613b3..1636524b 100644
--- a/src/modules/training/QCBM.py
+++ b/src/modules/training/QCBM.py
@@ -190,6 +190,8 @@ def setup_training(self, input_data, config) -> tuple:
             self.loss_func = self.kl_divergence
         elif config['loss'] == "NLL":
             self.loss_func = self.nll
+        elif config['loss'] == "MMD":
+            self.loss_func = self.mmd
         else:
             raise NotImplementedError("Loss function not implemented")
 
@@ -304,14 +306,16 @@ def data_visualization(self, loss_epoch, pmfs_model, samples, epoch):
             else:
                 counts = samples[int(index)]
 
-            metrics = self.generalization_metrics.get_metrics(counts.get() if GPU else counts)
+            metrics = self.generalization_metrics.get_metrics(counts if GPU else counts)
             for (key, value) in metrics.items():
                 self.writer.add_scalar(f"metrics/{key}", value, epoch)
 
         nll = self.nll(best_pmf.reshape([1, -1]), self.target)
         kl = self.kl_divergence(best_pmf.reshape([1, -1]), self.target)
+        mmd = self.mmd(best_pmf.reshape([1, -1]), self.target)
         self.writer.add_scalar("metrics/NLL", nll.get() if GPU else nll, epoch)
         self.writer.add_scalar("metrics/KL", kl.get() if GPU else kl, epoch)
+        self.writer.add_scalar("metrics/MMD", mmd.get() if GPU else mmd, epoch)
 
         self.ax.clear()
         self.ax.imshow(
diff --git a/src/modules/training/Training.py b/src/modules/training/Training.py
index fbe61a96..5457f702 100644
--- a/src/modules/training/Training.py
+++ b/src/modules/training/Training.py
@@ -111,6 +111,16 @@ def nll(self, pmf_model, pmf_target):
         pmf_model[pmf_model == 0] = 1e-8
         return -np.sum(pmf_target * np.log(pmf_model), axis=1)
 
+    def mmd(self, pmf_model, pmf_target):
+        pmf_model[pmf_model == 0] = 1e-8
+        sigma = 1/pmf_model.shape[1] # TODO Improve scaling sigma and revise Formula
+        kernel_distance = np.exp((-np.square(pmf_model - pmf_target) / (sigma ** 2)))
+        mmd = 2 - 2 * np.mean(kernel_distance, axis=1)
+        # The correct formula would take the transformed distances of both distributions into account. Since we are
+        # not sampling from the distribution but using the probability mass function we can skip this step since the
+        # sum of both, a modified version of the Gaussian kernel is used.
+        return mmd
+
     class Timing:
         """
         This module is an abstraction of time measurement for for both CPU and GPU processes