tensorflow / quantum
An open-source Python framework for hybrid quantum-classical machine learning.
Why this job: topics: machine-learning-library, tensorflow, machine-learning
What it does
- Integrates with Cirq for writing
- Integrates with qsim for running
- Uses Keras to provide high-level abstractions for
- Provides an extensible system for automatic differentiation of quantum
- Offers many methods for computing gradients, including parameter shift and
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 2,206
- +4 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- Linux
- From the latest release
- Latest version
- v0.7.6
- Released 8 months ago
- Built with
- Python
- 66% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 91% closed
- 36 still open
- Pull requests
- 514 merged
- 28 waiting
- Releases
- 12
- 2 in the last year
More: download files, languages, topics and project record
Languages
- Python 66%
- C++ 27%
- Starlark 4%
- Shell 2%
Topics
- cirq
- machine-learning
- python
- qml
- quantum
- quantum-computing
- quantum-machine-learning
- sdk
- tensorflow
- google-quantum
- nisq
Project record
- JobAI libraries and models
- StatusFeatured
- Commits1,034
- Forks675
- Watching73
- Stars in 28 days+12
- CreatedFeb 6, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026