A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.
machine-learning deep-learning monte-carlo quantum-mechanics pytorch scientific-computing quantum-computing high-performance-computing physics-simulation neuralnetworks stochastic-optimization quantum-simulation variational-monte-carlo nqs quantum-many-body mcmc-sampling neural-simulations scientific-computing-with-python neural-quantum-states symmetry-preserving-networks
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Updated
Dec 21, 2024