mit-han-lab / 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.

Date Created 2021-02-04 (3 years ago)

Commits 1,456 (last one 2 months ago)

Stargazers 1,211 (7 this week)

Watchers 25 (0 this week)

Forks 175

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these mit-han-lab/torchquantum is ranked #40,154 (92nd percentile) for total stargazers, and #86,287 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #794/14,471.

mit-han-lab/torchquantum is also tagged with popular topics, for these it's ranked: deep-learning (#1,061/7720), machine-learning (#1,088/7264), pytorch (#669/5505), neural-network (#185/1021), quantum-computing (#17/222), system (#36/189), quantum (#9/115)

Other Information

mit-han-lab/torchquantum has 8 open pull requests on Github, 123 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 60 open issues and 52 closed issues.

There have been 6 releases, the latest one was published on 2024-02-21 (3 months ago) with the name v0.1.8.

Homepage URL: https://torchquantum.org

All Topics

system pytorch quantum deep-learning ml-for-systems neural-network pytorch-quantum machine-learning quantum-computing quantum-simulation quantum-neural-network quantum-machine-learning parameterized-quantum-circuit

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850 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-05-31 @ 07:13pm, id: 336063986 / R_kgDOFAft8g