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

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.

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 Creators:
Jaouni, Tareq, Author
Gao, Xiaoqin, Author
Arlt, Sören1, Author
Krenn, Mario1, Author           
Karimi, Ebrahim, Author
Affiliations:
1Krenn Research Group, Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society, Staudtstraße 2, 91058 Erlangen, DE, ou_3345237              

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Free keywords: Quantum Physics, quant-ph
 Abstract: 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.

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 Dates: 2023-07-242023-12-13
 Publication Status: Published online
 Pages: Fixed unusual visual aberration in Figure 2, and moved Acknowledgements section
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1364/OPTICAQ.502451
 Degree: -

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Title: Optica Quantum
Source Genre: Journal
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Pages: - Volume / Issue: 1 (2) Sequence Number: - Start / End Page: - Identifier: -