Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage
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[2209.04819] Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Quantum Physics arXiv:2209.04819 (quant-ph) [Submitted on 11 Sep 2022 ( v1 ), last revised 20 Nov 2023 (this version, v2)] Title: Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage Authors: Hiroshi Okamoto View a PDF of the paper titled Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage, by Hiroshi Okamoto View PDF HTML (experimental) Abstract: We propose a simple design of a quantum electron microscope that ``queries'' a beam-sensitive phase object, such as a biological specimen, as part of quantum computation. Lower quantum query complexity, not the time complexity, of a quantum algorithm means less specimen damage, which translates to more data extracted from the specimen. Hence small-scale quantum computing offers provable quantum advantage in this context. A possible application of the proposed microscope is the Grover search for a true structure, out of a set of candidate structures. Comments: 11 pages, 3 figures Subjects: Quantum Physics (quant-ph) Report number: Significant updates and new results are now available in arXiv:2604.11303 Cite as: arXiv:2209.04819 [quant-ph] (or arXiv:2209.04819v2 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2209.04819 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Hiroshi Okamoto Dr. Sc. [ view email ] [v1] Sun, 11 Sep 2022 09:27:52 UTC (101 KB) [v2] Mon, 20 Nov 2023 11:52:21 UTC (135 KB) Full-text links: Access Paper: View a PDF of the paper titled Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage, by Hiroshi Okamoto View PDF HTML (experimental) TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2022-09 References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from
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