Dirac-Type Nodal Spin Liquid Revealed by Refined Quantum Many-Body Solver Using Neural-Network Wave Function, Correlation Ratio, and Level Spectroscopy
Pursuing fractionalized particles that do not bear properties of conventional measurable objects, exemplified by bare particles in the vacuum such as electrons and elementary excitations such as magnons, is a challenge in physics. Here we show that a machine-learning method for quantum many-body sys...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Physical Society
2021
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| Accès en ligne: | https://doaj.org/article/c54acacfb4df456bb201a70f10e4b6e6 |
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