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February 12, 2026Quantum Information Processing0 citationsOpen Access

Unified monogamy and polygamy relations for multipartite systems

YCYue CaoGuangzhou Maritime CollegeNJNaihuan JingNorth Carolina State UniversityKMKailash MisraNorth Carolina State University

Key Points

  • This research aims to unify monogamy and polygamy relations for multipartite quantum systems through a tunable framework.
  • Introduced a parameterized framework for deriving monogamy and polygamy inequalities.
  • Developed tightened inequalities based on power relations for entanglement measures.
  • Used analytical comparisons and numerical evaluations for validation.
  • Established tighter bounds for monogamy and polygamy relations as parameters increase.
  • Demonstrated that results generalize existing inequalities in the field.
  • Identified optimal monogamy bounds as a piecewise function of parameters, enhancing entanglement distribution characterization.

Abstract

Abstract For a bipartite entanglement measure E E that satisfies the γ th-power monogamy inequality (Eq. (1. 1) ), and for its assisted counterpart Eₐ E a that obeys the δ th-power polygamy inequality (Eq. (1. 2) ), we introduce a unified, tunable framework indexed by a parameter m 1 m ≥ 1. Within this framework, we derive two hierarchical families of refined inequalities: a tightened α -power monogamy relation for E E, valid for all m α ≥ m γ ; a tightened β -power polygamy relation for Eₐ E a, applicable for (m-1) (m - 1) δ β ≤ m δ. As m increases, the bounds become progressively tighter, recovering known results at m=1 m = 1. Notably, the optimal monogamy bound emerges as a piecewise function of α, with additional correction terms activated as α crosses successive integer thresholds, thereby offering a sharper characterization of entanglement distribution. We demonstrate that our results generalize and strengthen existing monogamy and polygamy relations through analytical comparisons and numerical evaluations using concurrence and concurrence of assistance. This hierarchical, parameterized approach offers enhanced and flexible tools for applications in quantum communication, quantum networks, and multipartite quantum information processing.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/698d6eca5be6419ac0d54924https://doi.org/10.1007/s11128-026-05076-6
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