Quantum Advantage in Phase Unitary Learning with a Continuous-Variable Quantum Compiler

Matthew Feldman, Tyler Volkoff, Zoe Holmes, Seongjin Hong, Claire Marvinney, Raphael Pooser, Andrew Sornborger, Alberto M. Marino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We demonstrate a continuous-variable quantum compiler with 3.6-fold faster convergence and 5.4-fold enhanced precision for optical phase unitary learning, highlighting the advantages of squeezing in learning the dynamics of quantum systems.

Original languageEnglish
Title of host publicationQuantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition
PublisherOptical Society of America
ISBN (Electronic)9781957171487
DOIs
StatePublished - 2025
EventOptica Quantum 2.0 Conference and Exhibition, QUANTUM 2025 - San Francisco, United States
Duration: Jun 1 2025Jun 5 2025

Publication series

NameQuantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition

Conference

ConferenceOptica Quantum 2.0 Conference and Exhibition, QUANTUM 2025
Country/TerritoryUnited States
CitySan Francisco
Period06/1/2506/5/25

Funding

This work was supported by the U.S. DOE Office of Science, National Quantum Information Science Research Centers, Quantum Science Center. LA-UR-23-21293

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