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

2019/08/26 by Valentina Caprara Vivoli, Yuchen Deng, Vivoli, Valentina Caprara +5
Computer Science · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)

paper · pdf · doi:10.48550/arxiv.1908.09519

openalex publication_date 2019/08/26 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28

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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