9 papers · 1 filter
Analog neutral-atom for in-memory processing in quantum reservoir computing
Luca Nigro, Gian Luca Giorgi, Enrico Prati +1
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 at…
Temporal information processing on a 4,500-qubit quantum annealer
Antonio Sannia, Roberto Menta, Pratik Sathe +7
Quantum machine learning could uncover statistical structure beyond the reach of classical models, but this requires quantum models large and expressive enough to be useful and che…
Unraveling-Dependent Metastability in Monitored Quantum Systems and Associative Memories
Manali Malakar, Roberta Zambrini, Gian Luca Giorgi
Metastability in open quantum systems is usually inferred from spectral separation in the Liouvillian, which governs unconditional, ensemble-averaged dynamics. We show that this di…
Storage, Scrambling, and Loss of Information in Quantum Reservoir Computing
Nathan Keenan, Roberta Zambrini
The performance of a quantum reservoir computer in temporal processing tasks depends on how its driven quantum substrate retains information about past inputs, distributes it acros…
Energetic Cost of Temporal Information Processing in Quantum Reservoirs
Gabriele Cenedese, Gonzalo Manzano, Gian Luca Giorgi +1
Quantum reservoir computing offers a promising route toward energy-efficient machine learning by processing temporal information with minimal training overhead. Yet, the physical p…
Dissipation in Periodically Driven Quantum Systems: Partial Secularization and Thermodynamic Consistency
Luísa T. Tude, Carlos Ortega-Taberner, Roberta Zambrini +1
Periodically driven open quantum systems are central to quantum thermodynamics and quantum control. These systems are typically described using Floquet-Born-Markov master equations…
General theory of monitored Quantum Reservoir Computing
Oriol Morguí-Sancho, Gonzalo Manzano, Gian Luca Giorgi +1
Quantum reservoir computing (QRC) provides a powerful framework for processing temporal data using quantum dynamics, but incorporating measurements into the reservoir remains a fun…
Temporal processing of quantum states with hybrid quantum-classical reservoirs
Mateu Coll-Comas, Gian Luca Giorgi, Roberta Zambrini
A distinctive feature of Quantum Reservoir Computing (QRC) is the ability to directly embed quantum input states into the reservoir dynamics. However, the resulting output is funda…
Benchmarking Quantum Extreme Learning based on Gaussian Boson Sampling
Daniel Montesinos, Gian Luca Giorgi, Roberta Zambrini
Reservoir models offer a hardware-efficient learning paradigm for noisy intermediate-scale quantum devices by exploiting untrained quantum dynamics as a fixed feature map and restr…