Classifying multiparticle entanglement with passive state energies
Xue Yang, Yan-Han Yang, Xin-Zhu Liu, Shao-Ming Fei, and Ming-Xing Luo

TL;DR
This paper introduces a thermodynamic approach using passive state energies to classify and witness multipartite entanglement in multi-qubit systems, providing a novel criterion based on convex polytopes.
Contribution
It derives polygon inequalities for marginal passive state energies and establishes a thermodynamic criterion for classifying multipartite entanglement under SLOCC.
Findings
Marginal passive state energies form convex polytopes for SLOCC classes
Polygon inequalities serve as entanglement witnesses
Thermodynamic method classifies multipartite entanglement
Abstract
Thermodynamics as a fundamental branch of physics examines the relationships between heat, work, and energy. The maximum energy extraction can be characterized by using the passive states that has no extracted energy under any cyclic unitary process. In this paper, we focus on the concept of marginal passive state energy and derive polygon inequalities for multi-qubit entangled pure states. We show that the marginal passive state energies collectively form a convex polytope for each class of quantum states that are equivalent under SLOCC. We finally introduce multipartite passive state energy criteria to classify multipartite entanglement under SLOCC. The present result provides a thermodynamic method to witness multipartite entanglement.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum and electron transport phenomena
