Spin-network quantum reservoirs with finite entanglement and coherence are more resilient to statistical noise from finite measurements than unentangled incoherent ones.
Optimizing quantum noise-induced reservoir computing for nonlin- ear and chaotic time series prediction
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Quantumness can enhance resilience to statistical noise in spin-network quantum reservoir computing
Spin-network quantum reservoirs with finite entanglement and coherence are more resilient to statistical noise from finite measurements than unentangled incoherent ones.