Quantum Algorithm for Signal Denoising - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Signal Processing Letters Année : 2023

Quantum Algorithm for Signal Denoising

Résumé

This letter presents a novel quantum algorithm for signal denoising, which performs a thresholding in the frequency domain through amplitude amplification and using an adaptive threshold determined by local mean values. The proposed algorithm is able to process both classical and quantum signals. It is parametrically faster than previous classical and quantum denoising algorithms. Numerical results show that it is efficient at removing noise of both classical and quantum origin, significantly outperforming existing quantum algorithms in this respect, especially in the presence of quantum noise.

Dates et versions

hal-04379033 , version 1 (08-01-2024)

Identifiants

Citer

Sayantan Dutta, Adrian Basarab, Denis Kouamé, Bertrand Georgeot. Quantum Algorithm for Signal Denoising. IEEE Signal Processing Letters, 2023, 31, pp.156 - 160. ⟨10.1109/LSP.2023.3344071⟩. ⟨hal-04379033⟩
38 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More