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.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- 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
Get started
git clone https://github.com/mit-han-lab/torchquantum.git
cd torchquantum
pip install --editable . - Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,681
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.8
- Released 2 years ago
- Built with
- Jupyter Notebook
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 47% closed
- 70 still open
- Pull requests
- 140 merged
- 28 waiting
- Releases
- 6
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 92%
- Python 8%
- Shell <1%
Topics
- pytorch-quantum
- quantum
- quantum-machine-learning
- neural-network
- machine-learning
- quantum-computing
- pytorch
- deep-learning
- system
- ml-for-systems
- quantum-simulation
- quantum-neural-network
Project record
- JobOther AI tools
- StatusListed
- Commits1,485
- Forks266
- Watching31
- Stars in 28 days+12
- CreatedFeb 4, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026