Composites and categories of euclidean Jordan algebras

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Barnum, H.; Graydon, M.A.; Wilce, A.: Composites and categories of euclidean Jordan algebras. In: Quantum 4 (2020), 359. DOI: https://doi.org/10.22331/Q-2020-11-08-359

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Sum total of downloads: 137




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Abstract: 
We consider possible non-signaling composites of probabilistic models based on euclidean Jordan algebras (EJAs), satisfying some reasonable additional constraints motivated by the desire to construct dagger-compact categories of such models. We show that no such composite has the exceptional Jordan algebra as a direct summand, nor does any such composite exist if one factor has an exceptional summand, unless the other factor is a direct sum of one-dimensional Jordan algebras (representing essentially a classical system). Moreover, we show that any composite of simple, non-exceptional EJAs is a direct summand of their universal tensor product, sharply limiting the possibilities. These results warrant our focussing on concrete Jordan algebras of hermitian matrices, i.e., euclidean Jordan algebras with a preferred embedding in a complex matrix algebra. We show that these can be organized in a natural way as a symmetric monoidal category, albeit one that is not compact closed. We then construct a related category InvQM of embedded euclidean Jordan algebras, having fewer objects but more morphisms, that is not only compact closed but dagger-compact. This category unifies finite-dimensional real, complex and quaternionic mixed-state quantum mechanics, except that the composite of two complex quantum systems comes with an extra classical bit. Our notion of composite requires neither tomographic locality, nor preservation of purity under tensor product. The categories we construct include examples in which both of these conditions fail. In such cases, the information capacity (the maximum number of mutually distinguishable states) of a composite is greater than the product of the capacities of its constituents. © 2020 FahrenHouse. All rights reserved.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Forschungsinitiativen

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total perc.
1 image of flag of United States United States 46 33.58%
2 image of flag of Germany Germany 39 28.47%
3 image of flag of No geo information available No geo information available 7 5.11%
4 image of flag of China China 7 5.11%
5 image of flag of Indonesia Indonesia 5 3.65%
6 image of flag of France France 3 2.19%
7 image of flag of Netherlands Netherlands 2 1.46%
8 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 1.46%
9 image of flag of Europe Europe 2 1.46%
10 image of flag of Canada Canada 2 1.46%
    other countries 22 16.06%

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