Comparison of annealing methods for photonics Ising machines

Research output: Unpublished contribution to conferencePoster

Abstract

Ising machines (IM) are a natural computing platform that could solve complex optimization problems more efficiently than traditional
digital computers. Unfortunately, for specific tasks, the relatively low success rate of finding the optimal solution remains an issue.
Annealing schemes are being investigated as a tool to navigate around these local minima and increase the overall success rate of IM.
Our research investigates the influence of linear-annealing schemes as well as adiabatic annealing schemes on the success rate of the
IM. Our results indicate that both annealing schemes can be useful to increase the success rate of some benchmark problems.
Original languageEnglish
Number of pages1
Publication statusPublished - 23 Nov 2023
Event27th IEEE Photonics Benelux Symposium 2023 - De Abdij van Drongen, Drongen, Belgium
Duration: 23 Nov 202324 Nov 2023
https://www.ieee.be/node/1040

Conference

Conference27th IEEE Photonics Benelux Symposium 2023
Country/TerritoryBelgium
CityDrongen
Period23/11/2324/11/23
Internet address

Keywords

  • Ising machines
  • annealing
  • Adiabatic annealing
  • photonic computing

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