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Research PaperResearchia:202607.23085

Identifying local unitary equivalence based on reduction of quantum states

Yanjun Chu

Abstract

Local unitary equivalence is central to entanglement quantification and classification. Identifying the local unitary equivalence remains a formidable challenge. We address this problem for a class of quantum states with one highly degenerate eigenvalue and the rest non-degenerate simple eigenvalues that are pivotal to structured resources in quantum resource theory. We introduce a reduction" procedure that maps each state to a reduced state" by nullifying the highest-multiplicity eigenvalue and...

Submitted: July 23, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Local unitary equivalence is central to entanglement quantification and classification. Identifying the local unitary equivalence remains a formidable challenge. We address this problem for a class of quantum states with one highly degenerate eigenvalue and the rest non-degenerate simple eigenvalues that are pivotal to structured resources in quantum resource theory. We introduce a reduction" procedure that maps each state to a reduced state" by nullifying the highest-multiplicity eigenvalue and prove that the local unitary equivalence of the original states is equivalent to that of their reduced counterparts. For the resulting pure or non-degenerate reduced states, we employ the existing invariants or fixed-point subgroup criteria to establish a complete discrimination framework, although the existing criteria can not directly identify the local unitary equivalence of the original states. We also verify the local unitary equivalence of two families of single-parameterized multipartite mixed states constructed by perturbing absolutely maximally entangled states from distinct combinatorial origins, demonstrating the efficacy and generality of our approach.


Source: arXiv:2607.20266v1 - http://arxiv.org/abs/2607.20266v1 PDF: https://arxiv.org/pdf/2607.20266v1 Original Link: http://arxiv.org/abs/2607.20266v1

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Date:
Jul 23, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
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