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

• URL: http://arxiv.org/abs/2406.01017v1
• Date: Mon, 3 Jun 2024 05:55:55 GMT
• Title: Neural Quantum States in Variational Monte Carlo Method: A Brief Summary
• Authors: Yuntai Song,
• Abstract summary: variational Monte Carlo method based on neural quantum states for spin systems is reviewed. neural networks can represent relatively complex wave functions with relatively small computational resources. In quantum-state tomography, the representation method of neural quantum states has already achieved significant results.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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