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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| Published in: | Nature communications Vol. 15; no. 1; pp. 895 - 8 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
30.01.2024
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| ISSN: | 2041-1723, 2041-1723 |
| Online Access: | Get full text |
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