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Co-authored-by: NicoRenaud <[email protected]>
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github-actions[bot] and NicoRenaud authored May 14, 2023
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3 changes: 2 additions & 1 deletion README.md
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<b>Community</b> (33)
<b>Community</b> (34)
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| [qiskit-symbolic](https://github.com/SimoneGasperini/qiskit-symbolic) | The `qiskit-symbolic` project is meant to enable the symbolic evaluation of quantum states/operators defined by Qiskit parametric circuits. It's based on sympy as the backend for the manipulation of symbolic expressions. The original idea for this project goes back to the [qiskit-terra#4751](https://github.com/Qiskit/qiskit-terra/issues/4751) issue, where I recently had a discussion with [jakelishman](https://github.com/jakelishman) who finally proposed me to submit my repo to the Qiskit Ecosystem. <br/> ![core](https://img.shields.io/badge/_No-response_-gray.svg) <br/> |
| [sat-circuits-engine](https://github.com/ohadlev77/sat-circuits-engine) | A Python-Qiskit-based package that provides capabilities of easily generating, executing and analyzing quantum circuits for satisfiability problems according to user-defined constraints. The circuits being generated by the program are based on Grover's algorithm and its amplitude-amplification generalization. <br/> ![core](https://img.shields.io/badge/algorithms-gray.svg) ![core](https://img.shields.io/badge/circuit-gray.svg) <br/> |
| [spinoza](https://github.com/smu160/spinoza) | Spinoza is a quantum state simulator (implemented in Rust) that is one of the fastest open-source simulators. Spinoza is implemented using a functional approach. Additionally, Spinoza has a `QuantumCircuit` object-oriented interface, which partially matches Qiskit's interface. Spinoza is capable of running in a myriad of computing environments (e.g., small workstations), and on various architectures. At this juncture, Spinoza only utilizes a single thread; however, it is designed to be easily extended into a parallel version, as well as a distributed version. The paper associated with Spinoza is available [here](https://arxiv.org/pdf/2303.01493.pdf). <br/> ![core](https://img.shields.io/badge/simulation-gray.svg) <br/> |
| [vqls-prototype](https://github.com/QuantumApplicationLab/vqls-prototype) | Dear qiskit developers, we have developed a prototype for the variational quantum linear solver. We've used the qiskit prototype-template and did our best to follow qiskit coding standards. We are still having a few issues with pylint and mypy and had to disable some error for the tests to pass for now. The solver uses the Estimator/Sampler primitives and can be run through runtime seamlessly. We would love to share our work with the qiskit community and make the prototype available to a broader audience. We would therefore like to know if you would be interested in this prototype. If you are, we could review the code together and include vqls prototype as part of the qiskit-community. Thanks for all the work you are doing for the community ! Nico <br/> ![core](https://img.shields.io/badge/_No response_-gray.svg) <br/> |

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"skip_tests": true,
"historical_test_results": [],
"stars": null
},
"35": {
"name": "vqls-prototype",
"url": "https://github.com/QuantumApplicationLab/vqls-prototype",
"description": "Dear qiskit developers, we have developed a prototype for the variational quantum linear solver. We've used the qiskit prototype-template and did our best to follow qiskit coding standards. We are still having a few issues with pylint and mypy and had to disable some error for the tests to pass for now. The solver uses the Estimator/Sampler primitives and can be run through runtime seamlessly. We would love to share our work with the qiskit community and make the prototype available to a broader audience. We would therefore like to know if you would be interested in this prototype. If you are, we could review the code together and include vqls prototype as part of the qiskit-community. Thanks for all the work you are doing for the community ! Nico",
"licence": "Apache License 2.0",
"contact_info": "[email protected]",
"alternatives": "The prototype builds on the qiskit-textbook chapter and tutorial. The prototype allows to use the primitives and use different cost function and test circuits to optimize the parameters.",
"affiliations": "Netherlands eScience Center @ Quantum Application Lab, Amsterdam NL",
"labels": [
"_No response_"
],
"created_at": 1683906067.55753,
"updated_at": 1683906067.557535,
"tests_results": [],
"styles_results": [],
"coverages_results": [],
"tier": "Community",
"configuration": null,
"skip_tests": false,
"historical_test_results": [],
"stars": null
}
},
"Extensions": {
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