Tensor 2-sums and entanglement
Sandi Klavzar, Simone Severini

TL;DR
This paper introduces a generalized tensor product of graphs inspired by density matrices to analyze quantum entanglement, providing a combinatorial criterion for separability.
Contribution
It proposes a novel graph-based tensor product framework that captures key properties of quantum entanglement and offers a combinatorial separability test.
Findings
Established a graph-theoretic analogue of the Peres-Horodecki criterion.
Showed that graphs can be expressed as sums of tensor products of adjacency matrices.
Provided a minimal mathematical framework for studying quantum entanglement properties.
Abstract
To define a minimal mathematical framework for isolating some of the characteristic properties of quantum entanglement, we introduce a generalization of the tensor product of graphs. Inspired by the notion of a density matrix, the generalization is a simple one: every graph can be obtained by addition modulo two, possibly with many summands, of tensor products of adjacency matrices. In this picture, we are still able to prove a combinatorial analogue of the Peres-Horodecki criterion for testing separability.
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Taxonomy
TopicsTensor decomposition and applications · Computability, Logic, AI Algorithms · Complexity and Algorithms in Graphs
