Reservoir Computing

Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing
Reservoir computing (RC) is a machine learning paradigm that harnesses dynamical systems as computational resources. In its quantum …
Kaito Kobayashi, Yukitoshi Motome
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Quantum reservoir probing: An inverse paradigm of quantum reservoir computing for exploring quantum many-body physics
Quantum reservoir computing (QRC) is a brain-inspired computational paradigm that exploits the natural dynamics of a quantum system for …
Kaito Kobayashi, Yukitoshi Motome
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Quantum reservoir probing of quantum phase transitions
Quantum phase transitions are highly remarkable phenomena manifesting in quantum many-body systems. However, their precise …
Kaito Kobayashi, Yukitoshi Motome
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Feedback-Driven Quantum Reservoir Computing for Time-Series Analysis
Quantum reservoir computing (QRC) is a highly promising computational paradigm that leverages quantum systems as a computational …
Kaito Kobayashi, Keisuke Fujii, Naoki Yamamoto
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Video Recognition by Physical Reservoir Computing in Magnetic Materials
Nonlinear spin dynamics in magnetic materials offers a promising avenue for implementing physical reservoir computing, one of the most …
Kaito Kobayashi, Yukitoshi Motome
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Thermally-robust spatiotemporal parallel reservoir computing by frequency filtering in frustrated magnets
Physical reservoir computing is a framework for brain-inspired information processing that utilizes nonlinear and high-dimensional …
Kaito Kobayashi, Yukitoshi Motome
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Thermally-robust spatiotemporal parallel reservoir computing by frequency filtering in frustrated magnets