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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-23 18:05 |
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Conference: Bucharest University Faculty of Physics 2022 Meeting
Section: Theoretical Physics and Applied Mathematics
Title:
Data analysis for gravitational waves using neuronal networks on quantum computers
Authors:
Maria-Catalina ISFAN (1,2), Laurentiu-Ioan Caramete(1)
Affiliation:
1) Institute of Space Science
2) Faculty of Physics, University of Bucharest
E-mail
mariaisfan@spacescience.ro
Keywords:
gravitational waves, quantum neuronal networks
Abstract:
In this study, we evaluate the possibility of using quantum neuronal networks for classifying gravitational waveforms, ran both on simulators and quantum computers. This analysis is quite interdisciplinary in its nature, combining knowledge of astrophysics, quantum information or quantum and classical machine learning. We saw that the quantum classifiers and hybrid classical-quantum layers give high accurate results when tested on a simple dataset and ran on a simulator; also, adding a quantum layer to an unsatisfying classical neuronal network can highly improve its accuracy. When running on a real quantum computer, error minimizing algorithms need to be implemented in order to obtain a satisfying accuracy.
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