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学術論文

Experimental Solutions to the High-Dimensional Mean King's Problem

MPS-Authors

Arlt,  Sören
Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Krenn,  Mario
Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society;

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KingsProblem.png
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opticaq-1-2-49.pdf
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引用

Jaouni, T., Gao, X., Arlt, S., Krenn, M., & Karimi, E. (2023). Experimental Solutions to the High-Dimensional Mean King's Problem. Optica Quantum, 1(2). doi:10.1364/OPTICAQ.502451.


引用: https://hdl.handle.net/21.11116/0000-000D-7F8F-5
要旨
In 1987, Vaidman, Aharanov, and Albert put forward a puzzle called the Mean
King's Problem (MKP) that can be solved only by harnessing quantum
entanglement. Prime-powered solutions to the problem have been shown to exist,
but they have not yet been experimentally realized for any dimension beyond
two. We propose a general first-of-its-kind experimental scheme for solving the
MKP in prime dimensions ($D$). Our search is guided by the digital discovery
framework PyTheus, which finds highly interpretable graph-based representations
of quantum optical experimental setups; using it, we find specific solutions
and generalize to higher dimensions through human insight. As proof of
principle, we present a detailed investigation of our solution for the three-,
five-, and seven-dimensional cases. We obtain maximum success probabilities of
$72.8 \%$, $45.8\%$, and $34.8 \%$, respectively. We, therefore, posit that our
computer-inspired scheme yields solutions that exceed the classical probability
($1/D$) twofold, demonstrating its promise for experimental implementation.