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Quantum Machine Learning Quantum Chemistry

Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections

arXiv
Authors: Edward Parker, Nicholas A. O'Donoughue, Alvin Moon, Nicolas M. Robles

Year

2026

Paper ID

15486

Status

Preprint

Abstract Read

~2 min

Abstract Words

55

Citations

N/A

Abstract

In 2013, Clader, Jacobs, and Sprouse developed a quantum computing algorithm that solves electromagnetic scattering problems exponentially faster than the best known classical algorithm for that problem. We examine this quantum algorithm's potential practical feasibility for modeling a target's radar cross section. Doing so could be important for modeling and predicting radar behavior against emerging targets.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • In 2013, Clader, Jacobs, and Sprouse developed a quantum computing algorithm that solves electromagnetic scattering problems exponentially faster than the best known classical...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2602.20553 [2] arXiv https://arxiv.org/abs/2602.20553 [3] Publisher https://arxiv.org/abs/2602.20553

Local Citation Graph (Related-Paper Links)

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External citation index: OpenAlex citation signal

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