Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Enrico Prati"'
Publikováno v:
Quantum Reports, Vol 6, Iss 1, Pp 1-13 (2023)
The Quantum Amplitude Estimation (QAE) algorithm is a major quantum algorithm designed to achieve a quadratic speed-up. Until fault-tolerant quantum computing is achieved, being competitive over classical Monte Carlo (MC) remains elusive. Alternative
Externí odkaz:
https://doaj.org/article/eb20aee64e1f42edafaa6e11b737006f
Autor:
Lorenzo Moro, Enrico Prati
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Quantum machine learning promises to revolutionize traditional machine learning by efficiently addressing hard tasks for classical computation. While claims of quantum speed-up have been announced for gate-based quantum computers and photon-
Externí odkaz:
https://doaj.org/article/5f83d1ee3b0a4150904296763644157d
Autor:
Gabriele Agliardi, Enrico Prati
Publikováno v:
Quantum Reports, Vol 4, Iss 1, Pp 75-105 (2022)
Loading data efficiently from classical memories to quantum computers is a key challenge of noisy intermediate-scale quantum computers. Such a problem can be addressed through quantum generative adversarial networks (qGANs), which are noise tolerant
Externí odkaz:
https://doaj.org/article/7ed4b2d37f24489e82804c2f8648014c
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-8 (2021)
Quantum compilers are characterized by a trade-off between the length of the sequences, the precompilation time, and the execution time. Here, the authors propose an approach based on deep reinforcement learning to approximate unitary operators as ci
Externí odkaz:
https://doaj.org/article/ab73e5736a1642b98d3c091262945c6e
Publikováno v:
Physics Letters B, Vol 832, Iss , Pp 137228- (2022)
We apply quantum integration to elementary particle-physics processes. In particular, we look at scattering processes such as e+e−→qq¯ and e+e−→qq¯′W. The corresponding probability distributions can be first appropriately loaded on a quan
Externí odkaz:
https://doaj.org/article/e9f5cc87061d4ff2bfd3e796480af02c
Autor:
Giulio Tavani, Chiara Barri, Erfan Mafakheri, Giorgia Franzò, Michele Celebrano, Michele Castriotta, Matteo Di Giancamillo, Giorgio Ferrari, Francesco Picciariello, Giulio Foletto, Costantino Agnesi, Giuseppe Vallone, Paolo Villoresi, Vito Sorianello, Davide Rotta, Marco Finazzi, Monica Bollani, Enrico Prati
Publikováno v:
Materials, Vol 16, Iss 6, p 2344 (2023)
Recent advancements in quantum key distribution (QKD) protocols opened the chance to exploit nonlaser sources for their implementation. A possible solution might consist in erbium-doped light emitting diodes (LEDs), which are able to produce photons
Externí odkaz:
https://doaj.org/article/3af94e4a6806424684c633ac974622fa
Publikováno v:
npj Quantum Information, Vol 3, Iss 1, Pp 1-14 (2017)
Abstract Even the quantum simulation of an apparently simple molecule such as Fe2S2 requires a considerable number of qubits of the order of 106, while more complex molecules such as alanine (C3H7NO2) require about a hundred times more. In order to a
Externí odkaz:
https://doaj.org/article/a5d67fed2ed349b7acaa148e6c77fa98
Autor:
Michele Celebrano, Lavinia Ghirardini, Marco Finazzi, Giorgio Ferrari, Yuki Chiba, Ayman Abdelghafar, Maasa Yano, Takahiro Shinada, Takashi Tanii, Enrico Prati
Publikováno v:
Nanomaterials, Vol 9, Iss 3, p 416 (2019)
An erbium-doped silicon transistor prepared by ion implantation and co-doped with oxygen is investigated by photocurrent generation in the telecommunication range. The photocurrent is explored at room temperature as a function of the wavelength by us
Externí odkaz:
https://doaj.org/article/c53982717f544294a3b8a857a25a03ad
Autor:
Yuma Takahashi, Tomoki Ishii, Kaisei Uchida, Takumi Zushi, Lindsay Coe, Shin-ichiro Sato, Enrico Prati, Takahiro Shinada, Takashi Tanii
Publikováno v:
e-Journal of Surface Science and Nanotechnology.
Quantum reservoir computing is a class of quantum machine learning algorithms involving a reservoir of an echo state network based on a register of qubits, but the dependence of its memory capacity on the hyperparameters is still rather unclear. In o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f120b19d7aa9e37f6127bbef1aa5a778
https://hdl.handle.net/2434/956862
https://hdl.handle.net/2434/956862