Machine learning algorithms for many-body quantum systems
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Updated
Oct 16, 2025 - Python
Machine learning algorithms for many-body quantum systems
Collection of NetKet lectures
This project provides a comprehensive framework for simulating quantum systems using various models and functionalities. The project leverages advanced mathematical libraries and parallel computing techniques to ensure efficient and accurate simulations.
A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.
Results presented during the EuCAIFCon 2025 in Cagliari (ITA) (https://agenda.infn.it/event/43565/). Preprint available.
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