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arXiv · 2406.01017

Neural Quantum States in Variational Monte Carlo Method: A Brief Summary

Yuntai Song
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Abstract

In this note, variational Monte Carlo method based on neural quantum states for spin systems is reviewed. Using a neural network as the wave function allows for a more generalized expression of various types of interactions, including highly non-local interactions, which are closely related to its non-linear activation functions. Additionally, neural networks can represent relatively complex wave functions with relatively small computational resources when dealing with higher-dimensional systems, which is undoubtedly a "flattening" advantage. In quantum-state tomography, the representation method of neural quantum states has already achieved significant results, hinting at its potential in handling larger-sized systems.

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Yuntai Song. 2024-06-03. Neural Quantum States in Variational Monte Carlo Method: A Brief Summary. https://arxiv.org/abs/2406.01017

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