2019
DOI: 10.1007/jhep01(2019)170
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Quantum information processing and composite quantum fields

Abstract: Some beautiful identities involving hook contents of Young diagrams have been found in the field of quantum information processing, along with a combinatorial proof. We here give a representation theoretic proof of these identities and a number of generalizations. Our proof is based on trace identities for elements belonging to a class of permutation centralizer algebras. These algebras have been found to underlie the combinatorics of composite gauge invariant operators in quantum field theory, with applicatio… Show more

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Cited by 5 publications
(2 citation statements)
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“…There is a 1-parameter algebra K(n) relevant to 3-index tensor systems, which is closely related to Kronecker coefficients. The algebras A(m, n) were recently used to derive identities involving contents of Young diagrams, which have applications in quantum information processing tasks [55]: the present paper is another link between permutation algebras and information theoretic perspectives directly motivated, in the present case, by information theoretic questions in AdS/CFT. Another connection between the 2-matrix system and small black holes in AdS/CFT is proposed in [56].…”
Section: Discussionmentioning
confidence: 93%
“…There is a 1-parameter algebra K(n) relevant to 3-index tensor systems, which is closely related to Kronecker coefficients. The algebras A(m, n) were recently used to derive identities involving contents of Young diagrams, which have applications in quantum information processing tasks [55]: the present paper is another link between permutation algebras and information theoretic perspectives directly motivated, in the present case, by information theoretic questions in AdS/CFT. Another connection between the 2-matrix system and small black holes in AdS/CFT is proposed in [56].…”
Section: Discussionmentioning
confidence: 93%
“…With all the results on matrix correlators, it may come as no surprise that a similar approach extends to tensor models and yields applications even beyond the realm of theoretical physics. In quantum information processing [31] and linguistics [32] [33] one also finds that matrix models and symmetric groups gather a renewed attention.…”
Section: Introductionmentioning
confidence: 99%