Gian Luca Giorgi

Gian Luca Giorgi
Perfil

Quantum information; quantum correlations; synchronization in the quantum regime; quantum machine learning 

Publicaciones recientes

Role of coherence in many-body Quantum Reservoir Computing

Palacios, A; Martínez-Peña, R.; C. Soriano, M; Giorgi, G.L.; Zambrini, R.
Submitted (2024)

Reservoir Computing with Quantum Memristors

Montesinos Capacete, Daniel (Zambrini, Roberta; Giorgi, Gian Luca)
Master Thesis (2024)

Nonequilibrium Transition between Dissipative Time Crystals

Cabot, Albert; Giorgi, Gian Luca; Zambrini, Roberta
PRX Quantum 5 , 030325 (1-22) (2024)

Retrieving past quantum features with deep hybrid classical-quantum reservoir computing

Nokkala, Johannes; Giorgi, Gian Luca; Zambrini, Roberta
Machine Learning: Science and Technology 5, 035022 (1-14) (2024)

Dissipation as a resource for Quantum Reservoir Computing

Sannia, Antonio; Martínez-Peña, Rodrigo; Soriano, Miguel C.; Giorgi, Gian Luca; Zambrini, Roberta
Quantum 8, 1291 (2024)

Proyectos de investigación vigentes

MdM-IFISC-2

Maria de Maeztu 2023-2026

I.P.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

CoQuSy

Complex Quantum Systems: machine learning, thermodynamics, and emergent phenomena

I.P.: Gian Luca Giorgi, Gonzalo Manzano, Roberta Zambrini
CoQuSy is a coordinated project and joins all the researchers at IFISC (belonging either to CSIC or UIB) working in the common line of complex quantum systems. The coordination is motivated by ...

CoQuaDis

Collective quantum phenomena in dissipative systems – towards time-crystal applications in sensing and metrology

I.P.: Roberta Zambrini
This project seeks to identify and realize quantum resources yielding a possible quantum advantage by exploiting collective phenomena in open systems. The benefit of this approach is that it does not rely ...

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