Neural network approach to quasiparticle dispersions in doped antiferromagnets
Abstract Numerically simulating large, spinful, fermionic systems is of great interest in condensed matter physics. However, the exponential growth of the Hilbert space dimension with system size renders exact quantum state parameterizations impractical. Owing to their representative power, neural n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-06-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-024-01678-7 |