Machine learning algorithms for many-body quantum systems

deep-learning hamiltonian jax machine-learning markov-chain-monte-carlo monte-carlo-methods neural-networks physics-simulation quantum quantum-state-tomography unitaryhack variational-method variational-monte-carlo
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AI Summary: Implement a fast determinant update mechanism for sampling and local energy calculations within the NetKet library, leveraging Flax's variable caching capabilities. This involves designing, testing, and implementing `init_cache` and `log_ratio` functions for efficient computation.

Complexity: 4/5
enhancement help wanted contributor welcome

Machine learning algorithms for many-body quantum systems

Python
#deep-learning#hamiltonian#jax#machine-learning#markov-chain-monte-carlo#monte-carlo-methods#neural-networks#physics-simulation#quantum#quantum-state-tomography#unitaryhack#variational-method#variational-monte-carlo