A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.

Features

  • Easy construction and simulation of quantum circuits in PyTorch
  • Dynamic computation graph for easy debugging
  • Gradient support via autograd
  • Batch mode inference and training on CPU/GPU
  • Easy deployment on real quantum devices such as IBMQ
  • Easy hybrid classical-quantum model construction

Project Samples

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Project Activity

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Categories

Software Development, Frameworks, Quantum Computing

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Software Development Software, Python Frameworks, Python Quantum Computing Software

Registered

2024-09-30
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