Fast Simulation of Spontaneous Parametric Down-Conversion via Neural Operators

Dor Hay Shacham, Nativ Maor, Ben Halperin, Eyal Rozenberg, Alex M. Bronstein, Daniel Freedman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a learning approach to simulating Spontaneous Parametric Down-Conversion. Based on Fourier Neural Operators, the method is both fast and resolution independent. The learned operator is able to generalize well, successfully predicting physical observables.

Original languageEnglish
Title of host publicationQuantum 2.0 in Proceedings Quantum 2.0 Conference and Exhibition
ISBN (Electronic)9781557525185
DOIs
StatePublished - 2024
EventQuantum 2.0, QUANTUM 2024 in Quantum 2.0 Conference and Exhibition - Rotterdam, Netherlands
Duration: 23 Jun 202427 Jun 2024

Publication series

NameQuantum 2.0 in Proceedings Quantum 2.0 Conference and Exhibition

Conference

ConferenceQuantum 2.0, QUANTUM 2024 in Quantum 2.0 Conference and Exhibition
Country/TerritoryNetherlands
CityRotterdam
Period23/06/2427/06/24

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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