Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware
The Sachdev–Ye–Kitaev (SYK) model, known for its strong quantum correlations and chaotic behavior, serves as a key platform for quantum gravity studies. However, variationally preparing thermal states on near-term quantum processors for large systems ( N > 12, where N is the number of Majorana f...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/ade361 |
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