Neural-network variational quantum algorithm for simulating many-body dynamics

We propose a neural-network variational quantum algorithm to simulate the time evolution of quantum many-body systems. Based on a modified restricted Boltzmann machine (RBM) wave function ansatz, the proposed algorithm can be efficiently implemented in near-term quantum computers with low measuremen...

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Bibliographic Details
Main Authors: Chee Kong Lee, Pranay Patil, Shengyu Zhang, Chang Yu Hsieh
Format: Article
Language:English
Published: American Physical Society 2021-05-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.023095