BoltzmannEntropy/QMLDocker

A docker container for quantum machine learning (QML) research

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Emerging

This project provides a pre-configured Docker container designed for quantum machine learning (QML) research and experimentation. It packages popular QML libraries like Qiskit, PennyLane, and Paddle Quantum, along with essential tools like PyTorch and a Jupyter environment. The container allows students and researchers to quickly set up a unified QML development environment, especially on challenging platforms like Mac OSX with an M1 chip, without struggling with complex installations.

No commits in the last 6 months.

Use this if you are a student or researcher new to quantum computing and want a quick, pre-configured environment to explore QML projects, particularly if you use a Mac OSX M1 chip.

Not ideal if you need a highly customized quantum computing environment, require enterprise-level support, or are not comfortable working with Docker.

quantum-machine-learning quantum-computing-research scientific-computing machine-learning-development academic-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

46

Forks

18

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

May 15, 2023

Commits (30d)

0

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