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Gravitational-wave matched filtering on a quantum computer

  • Doğa Veske
  • , Cenk Tüysüz
  • , Mirko Amico
  • , Nicholas T. Bronn
  • , Olivia T. Lanes
  • , Imre Bartos
  • , Zsuzsa Márka
  • , Sebastian Will
  • , Szabolcs Márka
  • Department of Physics
  • Columbia University
  • Heidelberg University
  • c/o DESY
  • Institut für Physik
  • Humboldt-Universität zu Berlin
  • IBM Watson Research Center
  • University of Florida

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

State-of-the-art quantum computers have very limited applicability for accurate calculations. Here, we report the first experimental demonstration of qubit-based matched filtering for a detection of the gravitational-wave signal from a binary black hole merger. With our implementation on noisy superconducting qubits, we obtained a similar signal-to-noise ratio for the binary black hole merger as achievable with classical computation, providing evidence for the utility of qubits for practically relevant tasks. The algorithm we invented for this application is a Monte Carlo algorithm which uses quantum and classical computation together. It provides a quasi-quadratic speed-up for time-domain convolution, similar to achievable with fast Fourier transform.

Original languageEnglish
Article number075117
JournalPhysica Scripta
Volume99
Issue number7
DOIs
Publication statusPublished - 1 Jul 2024
Externally publishedYes

Keywords

  • gravitational wave detection
  • matched filtering
  • quantum computing

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