Back to Search Start Over

Scalable spin-glass optical simulator

Authors :
Davide Pierangeli
Mushegh Rafayelyan
Claudio Conti
Sylvain Gigan
Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome]
Institute for Complex Systems [Rome] (CNR - ISC)
Consiglio Nazionale delle Ricerche [Roma] (CNR)
Laboratoire Kastler Brossel (LKB (Jussieu))
Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS)
Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Source :
Physical Review Applied, Physical Review Applied, American Physical Society, 2021, 15 (3), pp.034087. ⟨10.1103/PhysRevApplied.15.034087⟩, Physical Review Applied 15 (2021): 034087-1–034087-9. doi:10.1103/PhysRevApplied.15.034087, info:cnr-pdr/source/autori:Pierangeli D.; Rafayelyan M.; Conti C.; Gigan S./titolo:Scalable Spin-Glass Optical Simulator/doi:10.1103%2FPhysRevApplied.15.034087/rivista:Physical Review Applied/anno:2021/pagina_da:034087-1/pagina_a:034087-9/intervallo_pagine:034087-1–034087-9/volume:15
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates intense search for specific computing hardware that takes advantage from quantum features, nonlinear dynamics, or photonics. A paradigmatic optimization problem is finding low-energy states in classical spin systems with fully-random interactions. To date no alternative computing platform can address such spin-glass problems on a large scale. Here we propose and realize an optical scalable spin-glass simulator based on spatial light modulation and multiple light scattering. By tailoring optical transmission through a disordered medium, we optically accelerate the computation of the ground state of large spin networks with all-to-all random couplings. Scaling of the operation time with the problem size demonstrates optical advantage over conventional computing. Our results point out optical vector-matrix multiplication as a tool for spin-glass problems and provide a general route towards large-scale computing that exploits speed, parallelism and coherence of light.<br />9 pages, 4 figures

Details

Language :
English
ISSN :
23317019
Database :
OpenAIRE
Journal :
Physical Review Applied, Physical Review Applied, American Physical Society, 2021, 15 (3), pp.034087. ⟨10.1103/PhysRevApplied.15.034087⟩, Physical Review Applied 15 (2021): 034087-1–034087-9. doi:10.1103/PhysRevApplied.15.034087, info:cnr-pdr/source/autori:Pierangeli D.; Rafayelyan M.; Conti C.; Gigan S./titolo:Scalable Spin-Glass Optical Simulator/doi:10.1103%2FPhysRevApplied.15.034087/rivista:Physical Review Applied/anno:2021/pagina_da:034087-1/pagina_a:034087-9/intervallo_pagine:034087-1–034087-9/volume:15
Accession number :
edsair.doi.dedup.....a6f3a55c01f830b0750927f1d01b3c16
Full Text :
https://doi.org/10.1103/PhysRevApplied.15.034087⟩