Quantum Reservoir Computing (QRC) exploits the rich dynamics of quantum many-body systems to process time-dependent information with high-dimensional state spaces. While neutral atom arrays offer a scalable platform for this paradigm, realizing intrinsic temporal memory without relying on external classical buffering r...
Luca Nigro, G. Giorgi, E. Prati et al.· 0 citations
A quantum machine-learning model implemented on a programmable superconducting quantum annealer that processes temporal data at large scale using up to 4,500 qubits is reported-the largest quantum machine-learning experiment performed to date.
Antonio Sannia, Roberto Menta, Pratik Sathe et al.· 1 citation
Metastability in open quantum systems is usually inferred from spectral separation in the Liouvillian, which governs unconditional, ensemble-averaged dynamics. We show that this diagnosis is incomplete at the level of individual quantum trajectories: conditioned realizations of the same unconditional dynamics can bypas...
Manali Malakar, Roberta Zambrini, G. Giorgi· 0 citations
This work introduces a classical-quantum state derived from the process tensor representing the dynamical part of this process for typical QRC protocols found in the literature, and extracts two diagnostics that characterise the nonlocal scrambling of information within, and loss of information from the substrate.
A general theory of monitored quantum reservoir computing based on indirect quantum measurements is developed, which unifies projective, weak, partial, and dissipative monitoring protocols within a single operational framework and establishes quantum measurement engineering as a systematic approach for designing reserv...
Oriol Morguí-Sancho, Gonzalo Manzano, G. Giorgi et al.· 2 citations
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