Low-dose Image Recognition with Quantum Computational Electron Microscopy
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911588415438848 |
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| author | Okamoto, Hiroshi |
| author_facet | Okamoto, Hiroshi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_11303 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Low-dose Image Recognition with Quantum Computational Electron Microscopy Okamoto, Hiroshi Quantum Physics 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. |
| title | Low-dose Image Recognition with Quantum Computational Electron Microscopy |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2604.11303 |