QUAREC
MACHINE LEARNING WITH QUANTUM RESERVOIR COMPUTING
Project funded by the government of the Balearic Islands with the goal of extending Reservoir Computing into the quantum domain. The project is mainly theoretical/numerical, but also deals with the identification of suitable platforms for experimental implementations.
Investigadores
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Miguel C. Soriano
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Ingo Fischer
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Llorenç Serra
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Roberta Zambrini
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Gian Luca Giorgi
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Stefano Longhi
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Pere Mujal
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Rodrigo Martínez
Publicaciones recientes
A hybrid classical-quantum approach to speed-up Q-learning
A. Sannia, A. Giordano, N. Lo Gullo, C. Mastroianni, F. PlastinaScientific Reports , (2023)
Time-Series Quantum Reservoir Computing with Weak and Projective Measurements
Mujal, Pere; Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Robertanpj Quantum Information 9, 16 (2023)
Local probing of dynamical phase transitions by repeated partial information erasure
Hira Ali (supervisors Gian Luca Giorgi and Roberta Zambrini)Master Thesis (2023)
Dissipation as a resource for Quantum Reservoir Computing
Antonio Sannia, Rodrigo Martínez-Peña, Miguel C. Soriano, Gian Luca Giorgi, Roberta ZambriniSubmitted (2023)
Quantum associative memory with a single driven-dissipative non-linear oscillator
Labay-Mora, Adrià; Zambrini, Roberta; Giorgi, Gian LucaSubmitted (2023)
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