Temporal multiplexing with two quantum evolution times raises valid prediction time in a five-qubit hybrid reservoir computer and yields matching optimal parameter regions for two chaotic systems.
Montanaro, Quantum algorithms: an overview, npj Quantum Information 2, 1 (2016)
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Forecasting Low-Dimensional Turbulence via Multi-Dimensional Hybrid Quantum Reservoir Computing
Temporal multiplexing with two quantum evolution times raises valid prediction time in a five-qubit hybrid reservoir computer and yields matching optimal parameter regions for two chaotic systems.