Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloNoise-enhanced spatial-photonic Ising machine
Anno di pubblicazione2020
FormatoElettronico
Autore/iPierangeli D.; Marcucci G.; Brunner D.; Conti C.
Affiliazioni autoriDipartimento di Fisica, Università di Roma la Sapienza, Rome, 00185, Dipartimento di Fisica, Università di Roma "La Sapienza", 00185, Rome, Italy; Institute for Complex System, National Research Council (ISC-CNR), Rome, 00185, Institute for Complex System, National Research Council (ISC-CNR), 00185, Rome, Italy; Institute for Complex System, National Research Council (ISC-CNR), Rome, 00185, Institute for Complex System, National Research Council (ISC-CNR), 00185, Rome, Italy; Institut FEMTO-ST, Université Bourgogne Franche-Comté, CNRS, UMR 6174, Besançon, Institut FEMTO-ST, Université Bourgogne Franche-Comté CNRS UMR 6174, Besançon, France; Institut FEMTO-ST, Université Bourgogne Franche-Comté, CNRS, UMR 6174, Besançon, Institut FEMTO-ST, Université Bourgogne Franche-Comté CNRS UMR 6174, Besançon, France; Institut FEMTO-ST, Université Bourgogne Franche-Comté, CNRS, UMR 6174, Besançon, Institut FEMTO-ST, Université Bourgogne Franche-Comté CNRS UMR 6174, Besançon, France
Autori CNR e affiliazioni
  • GIULIA MARCUCCI
  • DAVIDE PIERANGELI
  • CLAUDIO CONTI
Lingua/e
  • inglese
AbstractIsing machines are novel computing devices for the energy minimization of Ising models. These combinatorial optimization problems are of paramount importance for science and technology, but remain difficult to tackle on large scale by conventional electronics. Recently, various photonics-based Ising machines demonstrated fast computing of a Ising ground state by data processing through multiple temporal or spatial optical channels. Experimental noise acts as a detrimental effect in many of these devices. On the contrary, here we demonstrate that an optimal noise level enhances the performance of spatial-photonic Ising machines on frustrated spin problems. By controlling the error rate at the detection, we introduce a noisy-feedback mechanism in an Ising machine based on spatial light modulation. We investigate the device performance on systems with hundreds of individually-addressable spins with all-to-all couplings and we found an increased success probability at a specific noise level. The optimal noise amplitude depends on graph properties and size, thus indicating an additional tunable parameter helpful in exploring complex energy landscapes and in avoiding getting stuck in local minima. Our experimental results identify noise as a potentially valuable resource for optical computing. This concept, which also holds in different nanophotonic neural networks, may be crucial in developing novel hardware with optics-enabled parallel architecture for large-scale optimizations.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali8
RivistaNanophotonics (Berlin. Internet)
Attiva dal 2012
Editore: De Gruyter - Berlin
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 2192-8614
Titolo chiave: Nanophotonics (Berlin. Internet)
Titolo proprio: Nanophotonics
Titolo abbreviato: Nanophotonics (Berl., Internet)
Numero volume della rivista9
Fascicolo della rivista13
DOI10.1515/nanoph-2020-0119
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85085871274)
  • ISI Web of Science (WOS) (Codice:000569032900005)
Parole chiaveIsing machines; optical computing; optimization problems; spatial light modulation
Link (URL, URI)https://www.degruyter.com/document/doi/10.1515/nanoph-2020-0119/html
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione08/04/2020
Note/Altre informazioniFunding source: SAPIExcellence 2019 (SPIM project) QuantERA ERANET Co-fund - Grant number: 731473 PRIN PELM 2017 H2020 PhoQus project - Grant number: 820392
Strutture CNR
  • ISC — Istituto dei sistemi complessi
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Noise-enhanced spatial-photonic Ising machine
Descrizione: published version
Tipo documento: application/pdf