BoltzmannEntropy/QMLDocker
A docker container for quantum machine learning (QML) research
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.
Stars
46
Forks
18
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
May 15, 2023
Commits (30d)
0
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