Improved machine learning algorithm for predicting ground state properties

Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geometric locality. The proposed ML model can efficiently predi...

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Bibliographic Details
Published in:Nature communications Vol. 15; no. 1; pp. 895 - 8
Main Authors: Lewis, Laura, Huang, Hsin-Yuan, Tran, Viet T., Lehner, Sebastian, Kueng, Richard, Preskill, John
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 30.01.2024
Nature Publishing Group
Nature Portfolio
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ISSN:2041-1723, 2041-1723
Online Access:Get full text
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