RT Journal Article
T1 Parameter estimation of gravitational waves with a quantum metropolis algorithm
A1 Escrig, Gabriel
A1 Campos, Roberto
A1 Casares, Pablo A. M.
A1 Martín-Delgado Alcántara, Miguel Ángel
AB After the first detection of a gravitational wave in 2015, the number of successes achieved by this innovative way of looking through the Universe has not stopped growing. However, the current techniques for analyzing this type of events present a serious bottleneck due to the high computational power they require. In this article we explore how recent techniques based on quantum algorithms could surpass this obstacle. For this purpose, we propose a quantization of the classical algorithms used in the literature for the inference of gravitational wave parameters based on the well-known quantum walks technique applied to a Metropolis-Hastings algorithm. Finally, we develop a quantum environment on classical hardware, implementing a metric to compare quantum versus classical algorithms in a fair way. We further test all these developments in the real inference of several sets of parameters of all the events of the first detection period GWTC-1 and we find a polynomial advantage in the quantum algorithms, thus setting a first starting point for future algorithms.
PB IOP Publishing Ltd
SN 0264-9381
YR 2023
FD 2023-02-16
LK https://hdl.handle.net/20.500.14352/72985
UL https://hdl.handle.net/20.500.14352/72985
LA eng
NO © 2023 The Author(s)We would like to thank Yifan Wang, Alex Nitz and Collin Capano on the usage of PyCBC. We acknowledge support from the CAM/FEDER Project No. S2018/TCS-4342 (QUITEMAD-CM), Spanish MINECO Grants MINECO/FEDER Projects, PGC2018-099169-BI00 FIS2018, MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1) and Ministry of Economic Affairs Quantum ENIA project. M A M-D has been partially supported by the U.S. Army Research Office through Grant No. W911NF-14-1-0103. PA M C thanks the support of a MECD Grant FPU17/03620, and R C the support of a CAM Grant IND2019/TIC17146
NO Ministerio de Economía y Competitividad (MINECO)/FEDER
NO Ministerio de Ciencia e Innovación (MICINN) /FEDER
NO Ministerio de Economía y Competitividad (MINECO)
NO Ministerio de Educación Cultura y Deporte (MECD)
NO Comunidad de Madrid
NO U.S. Army Research Office
DS Docta Complutense
RD 16 abr 2025