2015
DOI: 10.48550/arxiv.1509.05806
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Abelian Hypergroups and Quantum Computation

Juan Bermejo-Vega,
Kevin C. Zatloukal

Abstract: Motivated by a connection, described here for the first time, between the hidden normal subgroup problem (HNSP) and abelian hypergroups (algebraic objects that model collisions of physical particles), we develop a stabilizer formalism using abelian hypergroups and an associated classical simulation theorem (a la Gottesman-Knill). Using these tools, we develop the first provably efficient quantum algorithm for finding hidden subhypergroups of nilpotent abelian hypergroups and, via the aforementioned connection,… Show more

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Cited by 1 publication
(1 citation statement)
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References 71 publications
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“…We extended earlier results on odd-prime dimensional qudits [4,5] and rebits [6], and thereby completed establishing contextuality as a resource in QCSI in arbitrary prime dimensions. We conjecture that this result generalizes to all composite dimensions [15] (the composite odd case was recently covered after completion of this work [16]) and to algebraic extensions of QCSI models based on normalizer gates [11,[17][18][19][20]. Further, we demonstrated the applicability of our result to a concrete qubit QCSI scheme that does not exhibit state independent contextuality while retaining tomographic completeness.…”
Section: Classical Processing and Feedforwardsupporting
confidence: 54%
“…We extended earlier results on odd-prime dimensional qudits [4,5] and rebits [6], and thereby completed establishing contextuality as a resource in QCSI in arbitrary prime dimensions. We conjecture that this result generalizes to all composite dimensions [15] (the composite odd case was recently covered after completion of this work [16]) and to algebraic extensions of QCSI models based on normalizer gates [11,[17][18][19][20]. Further, we demonstrated the applicability of our result to a concrete qubit QCSI scheme that does not exhibit state independent contextuality while retaining tomographic completeness.…”
Section: Classical Processing and Feedforwardsupporting
confidence: 54%