Robust Adaptive Quantum-Limited Super-Resolution Imaging

Tianrui Tan, Kwan Kit Lee, Amit Ashok, Animesh Datta, Boulat A. Bash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Inspired by the results from quantum information processing, spatial-mode demultiplexing offers resolution of objects at the quantum limit, below the well-known Rayleigh-Abbe diffraction limit. An intriguing aspect of these results is that, while the analysis leading to the ultimate sub-diffraction limit is quantum, semi-classical devices can be used to build 'super-resolving' sensors that achieve this limit. Therefore, these developments have potential to significantly improve the quality of imaging systems in the near term. However, these quantum-inspired systems are sensitive to fluctuation in nuisance parameters, whether they are natural or adversarial. In this paper we analyze the impact of such fluctuations and provide methods to mitigate it. We focus on a problem of resolving two point sources, which has immediate practical applications in, e.g., space situation awareness.

Original languageEnglish (US)
Title of host publication56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781665459068
StatePublished - 2022
Event56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 - Virtual, Online, United States
Duration: Oct 31 2022Nov 2 2022

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Conference56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
Country/TerritoryUnited States
CityVirtual, Online

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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