ADAPTIVE AND OPTIMAL IMAGING OF QUANTUM OPTICAL SYSTEMS FOR QUANTUM COMPUTING

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United States of America Patent

APP PUB NO 20240219951A1
SERIAL NO

18309559

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Abstract

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The disclosure describes an adaptive and optimal imaging of individual quantum emitters within a lattice or optical field of view for quantum computing. Advanced image processing techniques are described to identify individual optically active quantum bits (qubits) with an imager. Images of individual and optically-resolved quantum emitters fluorescing as a lattice are decomposed and recognized based on fluorescence. Expected spatial distributions of the quantum emitters guides the processing, which uses adaptive fitting of peak distribution functions to determine the number of quantum emitters in real time. These techniques can be used for the loading process, where atoms or ions enter the trap one-by-one, for the identification of solid-state emitters, and for internal state-detection of the quantum emitters, where each emitter can be fluorescent or dark depending on its internal state. This latter application is relevant to efficient and fast detection of optically active qubits in quantum simulations and quantum computing.

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Patent Owner(s)

Patent OwnerAddress
UNIVERSITY OF MARYLAND COLLEGE PARK0134 LEE BUILDING 7809 REGENTS DRIVE UM VENTURES COLLEGE PARK MD 20742

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
BECKER, Patrick Michael College Park, US 3 5
KYPRIANIDIS, Antonios Takoma, US 3 5
MONROE, Christopher Ellicott City, US 30 417
WONG-CAMPOS, David Hyattsville, US 5 8
ZHANG, Jiehang College Park, US 3 5

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