Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pratibha Raghupati Hegde"'
Publikováno v:
New Journal of Physics, Vol 25, Iss 7, p 073013 (2023)
A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to employ long-short term memory neural networks to automate the search for o
Externí odkaz:
https://doaj.org/article/417cc72cef5e4c3b928cfd5afce7b4af
The study of optimal control of quantum annealing by modulating the pace of evolution and by introducing a counterdiabatic potential has gained significant attention in recent times. In this work, we present a numerical approach based on genetic algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6dfe4208ddb660ee42c508ea4eb2879
http://arxiv.org/abs/2108.03185
http://arxiv.org/abs/2108.03185
Autor:
Pratibha Raghupati Hegde, Autilia Vitiello, P. Lucignano, Giovanni Acampora, Gianluca Passarelli, Vittorio Cataudella
Publikováno v:
Applied Soft Computing. 110:107634
Quantum computing is an emerging research area which promises to offer a revolution in the computing performance. The world’s first commercially available quantum computer has been the D-Wave machine which aims at solving complex problems by repres
Autor:
Giovanni Acampora, P. Lucignano, Vittorio Cataudella, Gianluca Passarelli, Pratibha Raghupati Hegde, Autilia Vitiello
Embedding p-body interacting models onto the 2-body networks implemented on commercial quantum annealers is a relevant issue. For highly interacting models, requiring a number of ancilla qubits, that can be sizable and make unfeasible (if not impossi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb7e4e6c163a19c248cc096603849a9