Quantum&nbsp;JPEG

Roncallo, Simone; Maccone, Lorenzo; Macchiavello, Chiara

doi:10.1116/5.0177905

Quantum JPEG

Journal Article · Wed Dec 27 00:00:00 EST 2023 · AVS Quantum Science

DOI:https://doi.org/10.1116/5.0177905· OSTI ID:2560956

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The joint photographic expert group algorithm compresses a digital image by filtering its high spatial-frequency components. Similarly, we introduce a quantum algorithm that uses the quantum Fourier transform to discard the high spatial-frequency qubits of an image, downsampling it to a lower resolution. This allows one to capture, compress, and send images even with limited quantum resources for storage and communication. We show under which conditions this protocol is advantageous with respect to its classical counterpart.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); National Quantum Information Science (QIS) Research Centers (United States). Superconducting Quantum Materials and Systems Center (SQMS)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-07CH11359

OSTI ID:: 2560956

Alternate ID(s):: OSTI ID: 2005202

Report Number(s):: FERMILAB-PUB--23-500-SQMS-V; arXiv:2306.09323; 043803

Journal Information:: AVS Quantum Science, Journal Name: AVS Quantum Science Journal Issue: 4 Vol. 5; ISSN 2639-0213

Publisher:: American Vacuum SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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