Gravitational-wave matched filtering on a quantum computer

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-quadartic speed-up for time-domain convolution, similar to achievable with fast Fourier transform.

5+5 pages, 7 figures

References in corpus (10)

• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
• Charge insensitive qubit design derived from the Cooper pair box
• GW190521: A Binary Black Hole Merger with a Total Mass of $150M_{\odot }$
• Properties and astrophysical implications of the 150 Msun binary black hole merger GW190521
• The Future of Quantum Computing with Superconducting Qubits
• Open data from the third observing run of LIGO, Virgo, KAGRA and GEO
• Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications
• Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
• Parameter Estimation of Gravitational Waves with a Quantum Metropolis Algorithm
• Polarization-induced phase separation and re-entrant transition of two component-fermions in a one-dimensional lattice

Cited by in corpus (1)

• Quantum Bayesian Inference with Renormalization for Gravitational Waves