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Low-dose Image Recognition with Quantum Computational Electron Microscopy

Year: 2026

Type: preprint

Abstract: We show that quantum computational imaging is advantageous in the setting of low-dose electron microscopy of beam-sensitive specimens. Two qudits placed near the electron beam enable full transfer of quantum information between the electron microscope and a quantum computer in the proposed scheme, providing the specimen is a phase object. We present a quantum algorithm that identifies the correct image among n candidate images, where n is larger than the effective dimension of the Hilbert space of the imaging electron.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2604.11303

Author: Okamoto, Hiroshi

Institutions: National Institute for Nanotechnology, Akita Prefectural University

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7154335130

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