Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage
Year: 2022
Type: preprint
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.
Source: arXiv (Cornell University)
Author: Okamoto, Hiroshi
Institution: Akita Prefectural University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4295689615