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arXiv · 1908.09519

Quantum computing for accelerating cross-correlations intensive applications in signal processing

Valentina Caprara Vivoli·Yuchen Deng·Kohr Holger·Erik Franken
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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.

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Valentina Caprara Vivoli, Yuchen Deng, Kohr Holger, Erik Franken. 2019-08-26. Quantum computing for accelerating cross-correlations intensive applications in signal processing. https://arxiv.org/abs/1908.09519

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