One Application of Duistermaat-Heckman Measure in Quantum Information Theory

Abstract While the exact separability probability of 8/33 for two-qubit states under the Hilbert-Schmidt measure has been reported by Huong and Khoi, detailed derivations remain inaccessible for general audiences. This paper provides a comprehensive, self-contained derivation of this result, elucidating the underlying geometric and probabilistic structures. We achieve this by developing a framework centered on the computation of Hilbert-Schmidt volumes for key components: the quantum state space, relevant flag manifolds, and regular (co)adjoint orbits. Crucially, we establish and leverage the connection between these Hilbert-Schmidt volumes and the symplectic volumes of the corresponding regular co-adjoint orbits, formalized through the Duistermaat-Heckman measure. By meticulously synthesizing these volume computations—specifically, the ratios defining the relevant probability measures—we reconstruct and rigorously verify the 8/33 separability probability. Our approach offers a transparent pathway to this fundamental constant, detailing the interplay between symplectic geometry, representation theory, and quantum probability.

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Publication Details

Journal
Quantum Information and Computation
Published
2025-12-01
DOI
https://doi.org/10.2478/qic-2025-0033
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
0.00

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article

One Application of Duistermaat-Heckman Measure in Quantum Information Theory

Y. Y. Ji, Lin Zhang, Bing Xie
Quantum Information and Computation
Quantum chaos and dynamical systems
article

One Application of Duistermaat-Heckman Measure in Quantum Information Theory

Y. Y. Ji, Lin Zhang, Bing Xie
article en

Abstract

Abstract While the exact separability probability of 8/33 for two-qubit states under the Hilbert-Schmidt measure has been reported by Huong and Khoi, detailed derivations remain inaccessible for general audiences. This paper provides a comprehensive, self-contained derivation of this result, elucidating the underlying geometric and probabilistic structures. We achieve this by developing a framework centered on the computation of Hilbert-Schmidt volumes for key components: the quantum state space, relevant flag manifolds, and regular (co)adjoint orbits. Crucially, we establish and leverage the connection between these Hilbert-Schmidt volumes and the symplectic volumes of the corresponding regular co-adjoint orbits, formalized through the Duistermaat-Heckman measure. By meticulously synthesizing these volume computations—specifically, the ratios defining the relevant probability measures—we reconstruct and rigorously verify the 8/33 separability probability. Our approach offers a transparent pathway to this fundamental constant, detailing the interplay between symplectic geometry, representation theory, and quantum probability.

Quantum Information and ComputationVol. 25(6)
Hangzhou Dianzi University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Reduced inequalities
Openalex Percentile: Top 24%
Quantum chaos and dynamical systems
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