slohani-ai/machine-learning-for-physical-sciences
AI assisted Quantum technologies
This project helps quantum technology researchers and scientists design and analyze quantum information systems. It takes complex quantum data, such as light-matter interactions and entangled states, and processes it to help you understand and optimize quantum experiments. Physicists, materials scientists, and quantum engineers can use this to accelerate their work in quantum computing and sensing.
No commits in the last 6 months.
Use this if you are working with quantum systems and need to apply machine learning to analyze or optimize quantum data, particularly for deep quantum information science or light-matter interaction modeling.
Not ideal if your primary focus is classical physics simulations or general machine learning tasks unrelated to quantum information and physical sciences.
Stars
13
Forks
6
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 27, 2022
Commits (30d)
0
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