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

20250 citationsJournal Article

Authors

Matthew Feldman · Quantum Science Center

Tyler Volkoff · Los Alamos National Laboratory

Zoë Holmes · Quantis (Switzerland)

Seongjin Hong · Oak Ridge National Laboratory

Claire Marvinney · Quantum Science Center

Raphael C. Pooser · Oak Ridge National Laboratory

Andrew Sornborger

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.

Topics & Keywords

Quantum Computing Algorithms and Architecture Quantum Information and Cryptography Neural Networks and Reservoir Computing

Publication Details

DOI: 10.1364/quantum.2025.qw2a.5

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

Authors

Abstract

Topics & Keywords

Publication Details