QuantumBFS/SSSS

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

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Emerging

This collection provides educational materials and code demonstrations for advanced topics in scientific computing. It features lecture notes, slides, and runnable code examples across deep learning, tensor networks, and quantum computing. Scientists, researchers, and students interested in theoretical and applied aspects of these cutting-edge fields will find these resources valuable.

179 stars. No commits in the last 6 months.

Use this if you are a researcher or student looking for structured learning materials and practical code examples to understand deep learning, tensor networks, or quantum computing concepts.

Not ideal if you are seeking a plug-and-play tool for immediate application to a specific business problem, as this is primarily an educational resource.

quantum-physics deep-learning-research scientific-computing computational-physics algorithm-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

179

Forks

54

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 30, 2020

Commits (30d)

0

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