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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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 Frey, Samuel Lomonaco Jr., John Myers
Publisher	SPIE.Digital Library
Volume	12093
DOIs	https://doi.org/10.1117/12.2618281
Publication status	Published - 30-May-2022

Keywords

Quantum computing
Computing systems
Radar
Radar signal processing
Signal processing

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@inproceedings{a73f7aba19d94cf3a9584611805c8148,

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, Computing systems, Radar, Radar signal processing, Signal processing",

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

year = "2022",

month = may,

day = "30",

doi = "10.1117/12.2618281",

language = "English",

volume = "12093",

editor = "Eric Donkor and Michael Hayduk and Michael Frey and \{Lomonaco Jr.\}, Samuel and John Myers",

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

publisher = "SPIE.Digital Library",

}

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 Frey; Samuel Lomonaco Jr.; John Myers. Vol. 12093 SPIE.Digital Library, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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.

PY - 2022/5/30

Y1 - 2022/5/30

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 - Computing systems

KW - Radar

KW - Radar signal processing

KW - Signal processing

UR - https://doi.org/10.1117/12.2618281

UR - https://spie.org/Publications/Proceedings/Paper/10.1117/12.2618281

U2 - 10.1117/12.2618281

DO - 10.1117/12.2618281

M3 - Conference contribution

VL - 12093

BT - Quantum Information Science, Sensing, and Computation XIV

A2 - Donkor, Eric

A2 - Hayduk, Michael

A2 - Frey, Michael

A2 - Lomonaco Jr., Samuel

A2 - Myers, John

PB - SPIE.Digital Library

ER -

Quantum computing for radar and sonar information processing

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Keywords

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