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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2021-05-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.3.023095 |