Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage

Fuente: arXiv
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Autor principal: Okamoto, Hiroshi
Formato: Preprint
Publicado: 2022
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author Okamoto, Hiroshi
author_facet Okamoto, Hiroshi
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2209_04819
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage
Okamoto, Hiroshi
Quantum Physics
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.
title Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage
topic Quantum Physics
url https://arxiv.org/abs/2209.04819