3 citations · 5 across the 5 of their papers we have counts for
7 papers
Non-Markovian dissipation as a resource for quantum reservoir computing
Luca Nigro, Francesco Monzani, Enrico Prati
The control of open-system dynamics provides a powerful mechanism for using quantum information to process sequential tasks. While quantum reservoir computing typically relies on M…
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…
Quantum circuit partition as a maze: emerging percolation transition via path finding
P. Zentilini, M. Guatto, F. Preti +4
In quantum circuit optimization, circuit partitioning enables the optimization process to be parallelized across multiple devices. Each device is responsible for either reducing th…
Quantum reservoir computing induced by controllable damping
Emanuele Ricci, Francesco Monzani, Luca Nigro +1
Quantum reservoir computing has emerged as a promising machine learning paradigm for processing temporal data on near-term quantum devices, as it allows for exploiting the large co…
Non-unital noise in a superconducting quantum computer as a computational resource for reservoir computing
Francesco Monzani, Emanuele Ricci, Luca Nigro +1
We identify a noise model that ensures the functioning of an echo state network employing a gate-based quantum computer for reservoir computing applications. Energy dissipation ind…
Simulation of a Three-Nucleons System Transition on Quantum Circuits
Luca Nigro, Carlo Barbieri, Enrico Prati
Quantum computers have proven to be effective in simulating many quantum systems. Simulating nuclear processes and state preparation poses significant challenges, even for traditio…
Universality conditions of unified classical and quantum reservoir computing
Francesco Monzani, Enrico Prati
Reservoir computing is a versatile paradigm in computational neuroscience and machine learning, that exploits the non-linear dynamics of a dynamical system - the reservoir - to eff…