Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Roberta Zambrini"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Quantum Reservoir Computing (QRC) offers potential advantages over classical reservoir computing, including inherent processing of quantum inputs and a vast Hilbert space for state exploration. Yet, the relation between the performance of re
Externí odkaz:
https://doaj.org/article/91d219ee34ee4718842f3eda0cdbd1d1
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Variational quantum algorithms represent a powerful approach for solving optimization problems on noisy quantum computers, with a broad spectrum of potential applications ranging from chemistry to machine learning. However, their performance
Externí odkaz:
https://doaj.org/article/83260ca20a4a4709bfc75b78f616efa6
Publikováno v:
PRX Quantum, Vol 5, Iss 3, p 030325 (2024)
We show a dissipative phase transition in a driven nonlinear quantum oscillator in which a discrete time-translation symmetry is spontaneously broken in two different ways. The corresponding regimes display either discrete or incommensurate time-crys
Externí odkaz:
https://doaj.org/article/44125cd6bc934f1a94dafe93f7856c14
Publikováno v:
Quantum, Vol 8, p 1291 (2024)
Dissipation induced by interactions with an external environment typically hinders the performance of quantum computation, but in some cases can be turned out as a useful resource. We show the potential enhancement induced by dissipation in the field
Externí odkaz:
https://doaj.org/article/97914b31bca4473d8dccbcb99660ba10
Publikováno v:
npj Quantum Information, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract Time-series processing is a major challenge in machine learning with enormous progress in the last years in tasks such as speech recognition and chaotic series prediction. A promising avenue for sequential data analysis is quantum machine le
Externí odkaz:
https://doaj.org/article/50502e1f1e2b4cbf9164672f4f57edb7
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035022 (2024)
Machine learning techniques have achieved impressive results in recent years and the possibility of harnessing the power of quantum physics opens new promising avenues to speed up classical learning methods. Rather than viewing classical and quantum
Externí odkaz:
https://doaj.org/article/54c9fc06b43046b7bb7513692aacb8e2
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract It has long been recognized that emission of radiation from atoms is not an intrinsic property of individual atoms themselves, but it is largely affected by the characteristics of the photonic environment and by the collective interaction am
Externí odkaz:
https://doaj.org/article/0484f903c8cd42b38da02d71daa33a91
Autor:
Johannes Nokkala, Rodrigo Martínez-Peña, Gian Luca Giorgi, Valentina Parigi, Miguel C. Soriano, Roberta Zambrini
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-11 (2021)
Most attempts to delineate quantum machine-learning-related computing capabilities of continuous variables states have relied on non-Gaussian resources. Here, the authors show that linear systems with continuous-variable Gaussian states are a promisi
Externí odkaz:
https://doaj.org/article/6d99dbbbdff343148f879fffd11fbb76
Autor:
Marco Cattaneo, Matteo A.C. Rossi, Guillermo García-Pérez, Roberta Zambrini, Sabrina Maniscalco
Publikováno v:
PRX Quantum, Vol 4, Iss 1, p 010324 (2023)
Dissipative collective effects are ubiquitous in quantum physics and their relevance ranges from the study of entanglement in biological systems to noise mitigation in quantum computers. Here, we put forward the first fully quantum simulation of diss
Externí odkaz:
https://doaj.org/article/6fe67db5eea64ff2b6979e446acebf6d
Publikováno v:
New Journal of Physics, Vol 24, Iss 2, p 023030 (2022)
We study the emergence of synchronisation in a chiral network of harmonic oscillators. The network consists of a set of locally incoherently pumped harmonic oscillators coupled pairwise in cascade with travelling field modes. Such cascaded coupling l
Externí odkaz:
https://doaj.org/article/38979b84863f4cb392ab01ea0b3cda52