Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy
Abstract We investigate the bulk reconstruction of AdS black hole spacetime emergent from quantum entanglement within a machine learning framework. Utilizing neural ordinary differential equations alongside Monte-Carlo integration, we develop a method tailored for continuous training functions to ex...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
SpringerOpen
2025-01-01
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| Serie: | Journal of High Energy Physics |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/JHEP01(2025)025 |