Create sidra_chain_quantum_ai_engine.py

sidra_chain_integration/sidra_chain_quantum_ai_engine/sidra_chain_quantum_ai_engine.py

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+# sidra_chain_quantum_ai_engine.py
+import qiskit
+import tensorflow_quantum
+from sidra_chain_api import SidraChainAPI
+
+class SidraChainQuantumAIEngine:
+    def __init__(self, sidra_chain_api: SidraChainAPI):
+        self.sidra_chain_api = sidra_chain_api
+
+    def design_quantum_ai_model(self, quantum_ai_model_config: dict):
+        # Design a quantum AI model using Qiskit and TensorFlow Quantum
+        quantum_ai_model = qiskit.QuantumCircuit()
+        quantum_ai_model.add_layer(qiskit.Layer('quantum_convolutional_layer'))
+        quantum_ai_model.add_layer(qiskit.Layer('quantum_dense_layer'))
+        #...
+        return quantum_ai_model
+
+    def train_quantum_ai_model(self, quantum_ai_model: qiskit.QuantumCircuit):
+        # Train the quantum AI model using advanced quantum machine learning algorithms
+        trainer = tensorflow_quantum.Trainer()
+        trainer.train(quantum_ai_model)
+        return quantum_ai_model
+
+    def deploy_quantum_ai_model(self, quantum_ai_model: qiskit.QuantumCircuit):
+        # Deploy the quantum AI model in a real-world environment
+        self.sidra_chain_api.deploy_quantum_ai_model(quantum_ai_model)
+        return quantum_ai_model
+
+    def integrate_quantum_ai_model(self, quantum_ai_model: qiskit.QuantumCircuit):
+        # Integrate the quantum AI model with the Sidra Chain
+        self.sidra_chain_api.integrate_quantum_ai_model(quantum_ai_model)