Quantum computing for accelerating cross-correlations intensive applications in signal processing
Quantum Physics
2022-01-04 v2
Abstract
Despite their importance as subfields of mathematics and engineering, signal and image processing have not received much attention in the field of quantum computation. Cross-correlations are instrumental to all the aforementioned fields. In this article we help fill this void by providing two quantum algorithms, one for computing and storing cross-correlations, and one for implementing the expectation maximization maximum likelihood algorithm. In addition we show that the quantum expectation maximization maximum likelihood algorithm has a quadratic speed-up compared to the classical analog.
Cite
@article{arxiv.1908.09519,
title = {Quantum computing for accelerating cross-correlations intensive applications in signal processing},
author = {Valentina Caprara Vivoli and Yuchen Deng and Kohr Holger and Erik Franken},
journal= {arXiv preprint arXiv:1908.09519},
year = {2022}
}
Comments
8 pages,2 figures, comments are welcomed