Detecting Changes to Sub-Diffraction Objects with Quantum-Optimal Speed and Accuracy

Michael R. Grace; Saikat Guha; Zachary Dutton

doi:10.1364/COSI.2023.CW4D.6

Detecting Changes to Sub-Diffraction Objects with Quantum-Optimal Speed and Accuracy

Michael R. Grace, Saikat Guha, Zachary Dutton

Research output: Contribution to conference › Paper › peer-review

Abstract

Detecting if and when objects change is difficult i n p assive sub-diffraction imaging of dynamic scenes. We show analytically and in simulation that a spatial-mode-sorting imager can achieve quantum-limited detection latencies for a fixed false-alarm rate, enabling faster change detection than direct focal-plane imaging.

Original language	English (US)
DOIs	https://doi.org/10.1364/COSI.2023.CW4D.6
State	Published - 2023
Event	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 - Boston, United States Duration: Aug 14 2023 → Aug 17 2023

Conference

Conference	2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023
Country/Territory	United States
City	Boston
Period	8/14/23 → 8/17/23

ASJC Scopus subject areas

General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation

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10.1364/COSI.2023.CW4D.6

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Detecting Changes to Sub-Diffraction Objects with Quantum-Optimal Speed and Accuracy. / Grace, Michael R.; Guha, Saikat; Dutton, Zachary.
2023. Paper presented at 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023, Boston, United States.

Research output: Contribution to conference › Paper › peer-review

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abstract = "Detecting if and when objects change is difficult i n p assive sub-diffraction imaging of dynamic scenes. We show analytically and in simulation that a spatial-mode-sorting imager can achieve quantum-limited detection latencies for a fixed false-alarm rate, enabling faster change detection than direct focal-plane imaging.",

author = "Grace, {Michael R.} and Saikat Guha and Zachary Dutton",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s).; 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023 ; Conference date: 14-08-2023 Through 17-08-2023",

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AU - Grace, Michael R.

AU - Guha, Saikat

AU - Dutton, Zachary

PY - 2023

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N2 - Detecting if and when objects change is difficult i n p assive sub-diffraction imaging of dynamic scenes. We show analytically and in simulation that a spatial-mode-sorting imager can achieve quantum-limited detection latencies for a fixed false-alarm rate, enabling faster change detection than direct focal-plane imaging.

AB - Detecting if and when objects change is difficult i n p assive sub-diffraction imaging of dynamic scenes. We show analytically and in simulation that a spatial-mode-sorting imager can achieve quantum-limited detection latencies for a fixed false-alarm rate, enabling faster change detection than direct focal-plane imaging.

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T2 - 2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

Y2 - 14 August 2023 through 17 August 2023

ER -

Detecting Changes to Sub-Diffraction Objects with Quantum-Optimal Speed and Accuracy

Abstract

Conference

ASJC Scopus subject areas

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