DOE OSTI · 2584513
Quantum Advantage in Phase Unitary Learning with a Continuous-Variable Quantum Compiler
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.
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Marino Valle, Alberto [ORNL] (ORCID:0000000153771122), Marvinney, Claire [ORNL], Volkoff, Tyler [Los Alamos National Laboratory (LANL)], Sornborger, Andrew [Los Alamos National Laboratory (LANL)], Pooser, Raphael [Oak Ridge National Laboratory (ORNL)], Holmes, Zoe [Laboratory of Quantum Information and Computation, Ecole Polytechnique Fédérale de Lausanne], Hong, Seongjin [Department of physics, Chung-Ang University], Feldman, Matthew [ORNL] (ORCID:0000000240715284). 2025-08-01. Quantum Advantage in Phase Unitary Learning with a Continuous-Variable Quantum Compiler. https://doi.org/10.1364/quantum.2025.qw2a.5
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