From quantum reservoirs to quantum extreme learning machines through a nearest-neighbor spin chain with tunable quantum memory
Tuning the reservoir Hamiltonian and the evolution time with Bayesian optimization at each encoding length, it is found that recurrent quantum memory is essential when a task must reach far into the past, and dispensable when the relevant history is short, where the memoryless reset limit already suffices.
Carlos Ramon-Escandell, Arnau Riera, Marcin Płodzień
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