torchquantum
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.
Simulate quantum computing tasks using PyTorch, making it easier to develop and test quantum algorithms.
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Free · no card · unsubscribe anytimeA 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.
torchquantum has 1.6k stars on GitHub. It has been forked 255 times. torchquantum is written mainly in Jupyter Notebook. It has been in active development since 2021. torchquantum is available under the MIT license. Its main topics are deep-learning, machine-learning, ml-for-systems, neural-network.
What is torchquantum?
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.
Is torchquantum open source?
torchquantum is an open-source project. It is released under the MIT license.
Is torchquantum free?
Yes. torchquantum is free and open source — you can use, modify and self-host it.
What license does torchquantum use?
torchquantum is available under the MIT license.
What language is torchquantum written in?
torchquantum is written mainly in Jupyter Notebook.
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