Variational quantum algorithm for entanglement quantification

Quantum entanglement is a foundational resource in quantum information science, underpinning applications across physics. However, detecting and quantifying entanglement remains a significant challenge. In this article, we introduce a variational quantum algorithm inspired by Uhlmann's theorem to quantify the Bures entanglement of general quantum states, a method that naturally extends to other quantum resources, including genuine multipartite entanglement, quantum discord, quantum coherence, and total correlations, while also enabling reconstruction of the closest free states. The algorithm requires a polynomial number of ancillary qubits and circuit depth relative to the system size, dimensionality, and free-state cardinality, making it scalable for practical implementations. Thus, it provides a versatile framework for quantifying quantum resources, demonstrated here through several applications.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-11-25
DOI
https://doi.org/10.1103/839s-4qqv
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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Variational quantum algorithm for entanglement quantification

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Variational quantum algorithm for entanglement quantification

Jonas Maziero, Joab M. Varela, Alberto Palhares, Marcos L. W. Basso, Lucas Friedrich, Rafael Chaves, Leandro Pereira Morais
article en

Abstract

Quantum entanglement is a foundational resource in quantum information science, underpinning applications across physics. However, detecting and quantifying entanglement remains a significant challenge. In this article, we introduce a variational quantum algorithm inspired by Uhlmann's theorem to quantify the Bures entanglement of general quantum states, a method that naturally extends to other quantum resources, including genuine multipartite entanglement, quantum discord, quantum coherence, and total correlations, while also enabling reconstruction of the closest free states. The algorithm requires a polynomial number of ancillary qubits and circuit depth relative to the system size, dimensionality, and free-state cardinality, making it scalable for practical implementations. Thus, it provides a versatile framework for quantifying quantum resources, demonstrated here through several applications.

Physical review. A/Physical review, AVol. 112(5)
Universidade de São Paulo (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Federal de Santa Maria (BR), Universidade Federal do Rio Grande do Norte (BR), Universidade Federal do ABC (BR)
Openalex Percentile: Top 81%
Quantum Computing Algorithms and Architecture
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