Quantum computing for radar and sonar information processing

Tariq H. Bontekoe; Niels M. P. Neumann; Frank Phillipson; Robert S. Wezeman

doi:10.1117/12.2618281

Quantum computing for radar and sonar information processing

Tariq H. Bontekoe^*, Niels M. P. Neumann, Frank Phillipson, Robert S. Wezeman

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas.

Original language	English
Title of host publication	Quantum Information Science, Sensing, and Computation XIV
Editors	Eric Donkor, Michael Hayduk, Michael R. Frey, Samuel J. Lomonaco, John M. Myers
Publisher	SPIE
Pages	90 - 101
Number of pages	12
Volume	12093
ISBN (Electronic)	978-1-5106-5064-0
ISBN (Print)	978-1-5106-5062-6
DOIs	https://doi.org/10.1117/12.2618281
Publication status	Published - 2022

Keywords

quantum computing
NISQ applications
radar and sonar information processing

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10.1117/12.2618281

Cite this

@inproceedings{3cf07274337f44cbaada395722b22fd8,

title = "Quantum computing for radar and sonar information processing",

abstract = "Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas.",

keywords = "quantum computing, NISQ applications, radar and sonar information processing",

author = "Bontekoe, {Tariq H.} and Neumann, {Niels M. P.} and Frank Phillipson and Wezeman, {Robert S.}",

note = "data source: no data used",

year = "2022",

doi = "10.1117/12.2618281",

language = "English",

isbn = "978-1-5106-5062-6",

volume = "12093",

pages = "90 -- 101",

editor = "Eric Donkor and Michael Hayduk and Frey, {Michael R.} and Lomonaco, {Samuel J.} and Myers, {John M.}",

booktitle = "Quantum Information Science, Sensing, and Computation XIV",

publisher = "SPIE",

address = "United States",

}

Quantum computing for radar and sonar information processing. / Bontekoe, Tariq H.; Neumann, Niels M. P.; Phillipson, Frank et al.
Quantum Information Science, Sensing, and Computation XIV. ed. / Eric Donkor; Michael Hayduk; Michael R. Frey; Samuel J. Lomonaco; John M. Myers. Vol. 12093 SPIE, 2022. p. 90 - 101 120930B.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Quantum computing for radar and sonar information processing

AU - Bontekoe, Tariq H.

AU - Neumann, Niels M. P.

AU - Phillipson, Frank

AU - Wezeman, Robert S.

N1 - data source: no data used

PY - 2022

Y1 - 2022

N2 - Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas.

AB - Radar and sonar information processing is a promising application area of quantum computing in the near future. Many use cases in this area can are computational heavy and might benefit greatly from a quantum approach. In this paper, an overview of use cases in this application area is given and scored on quantum readiness, added value and expected horizon. From this overview acoustic localisation, generative models, compressive sensing, normalisation and classification are selected as the most promising application areas.

KW - quantum computing

KW - NISQ applications

KW - radar and sonar information processing

U2 - 10.1117/12.2618281

DO - 10.1117/12.2618281

M3 - Conference article in proceeding

SN - 978-1-5106-5062-6

VL - 12093

SP - 90

EP - 101

BT - Quantum Information Science, Sensing, and Computation XIV

A2 - Donkor, Eric

A2 - Hayduk, Michael

A2 - Frey, Michael R.

A2 - Lomonaco, Samuel J.

A2 - Myers, John M.

PB - SPIE

ER -

Quantum computing for radar and sonar information processing

Abstract

Keywords

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