Quantum Machine Learning
This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pennylane | 2,022 |  | 10 | 54 | 3 months ago | 46 | November 08, 2023 | 263 | apache-2.0 | Python |
| PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. | ||||||||||
| Qmldocker | 28 | a year ago | gpl-3.0 | Jupyter Notebook | ||||||
| A docker container for quantum machine learning (QML) research | ||||||||||
| Quantum Machine Learning | 18 | 3 months ago | Jupyter Notebook | |||||||
| This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC). | ||||||||||
| Dc Qiskit Qml | 13 | 4 months ago | 1 | apache-2.0 | Python | |||||
| Quantum Machine Learning algorithms | ||||||||||
| Quantum_lab | 10 | 7 months ago | 2 | mit | Python | |||||
| Docker image for quantum laboratory | ||||||||||
| Qml Qec | 5 | 4 years ago | 2 | Jupyter Notebook | ||||||
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