Non-Markovianity and memory enhancement in quantum reservoir computing
Abstract Featuring memory of past inputs is a fundamental requirement for machine learning models processing time-dependent data. In quantum reservoir computing, all architectures proposed so far rely on Markovian dynamics, which, as we prove, inherently lead to an exponential decay of past informat...
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| Principais autores: | , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Portfolio
2026-05-01
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| סדרה: | npj Quantum Information |
| גישה מקוונת: | https://doi.org/10.1038/s41534-026-01257-4 |
| תגים: |
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