17 citations · 36 across the 9 of their papers we have counts for
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quant-ph2024★ 17 cited
State estimation with quantum extreme learning machines beyond the scrambling time
Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti +2
Quantum extreme learning machines (QELMs) leverage untrained quantum dynamics to efficiently process information encoded in input quantum states, avoiding the high computational co…
quant-ph2024★ 6 cited
The importance of using the averaged mutual information when quantifying quantum objectivity
Diana A. Chisholm, Luca Innocenti, G. Massimo Palma
In the context of quantum objectivity, a standard way to quantify the classicality of a state is via the mutual information between a system and different fractions of its environm…