Q: What is Quantum Algorithm for Signal Denoising about?

This letter presents a novel \textit{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 \textit{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.

Question 1

What is Quantum Algorithm for Signal Denoising about?

Accepted Answer

This letter presents a novel 	extit{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 	extit{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.

Question 2

Can I read Quantum Algorithm for Signal Denoising on EtoBox?

Accepted Answer

Quantum Algorithm for Signal Denoising by Dutta, Sayantan; Basarab, Adrian; Kouamé, Denis; Georgeot, Bertrand is a scholarly article available to read on EtoBox.

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