Implementing Finite Impulse Response Filters on Quantum Computers

While signal processing is a mature area, its connections with quantum computing have received less attention. In this work, we propose approaches that perform classical discrete-time signal processing using quantum systems. Our approaches encode the classical discrete-time input signal into quantum states, and design unitaries to realize classical concepts of finite impulse response (FIR) filters. We also develop strategies to cascade lower-order filters to realize higher-order filters through designing appropriate unitary operators. Finally, a few directions for processing quantum states on classical systems after converting them to classical signals are suggested for future work.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10887919
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

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Implementing Finite Impulse Response Filters on Quantum Computers

Bojko Bakalov, Dror Baron, Yuan Liu, A. S. Majumdar
1 citations
Quantum Computing Algorithms and Architecture
2.48
article

Implementing Finite Impulse Response Filters on Quantum Computers

Bojko Bakalov, Dror Baron, Yuan Liu, A. S. Majumdar
article en
1 citations

Abstract

While signal processing is a mature area, its connections with quantum computing have received less attention. In this work, we propose approaches that perform classical discrete-time signal processing using quantum systems. Our approaches encode the classical discrete-time input signal into quantum states, and design unitaries to realize classical concepts of finite impulse response (FIR) filters. We also develop strategies to cascade lower-order filters to realize higher-order filters through designing appropriate unitary operators. Finally, a few directions for processing quantum states on classical systems after converting them to classical signals are suggested for future work.

North Carolina State University (US)
U.S. Department of Energy, Advanced Scientific Computing Research
Affordable and clean energy
Openalex Percentile: Top 11%
Quantum Computing Algorithms and Architecture
2.48
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