PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 21, 20250 citationsOpen Access

Efficiently Computable Limits on EPR Pair Generation in Quantum Broadcast Channels

View Full Paper
PHPatrick HaydenDLDebbie LeungHRHjalmar Rall

Key Points

  • This research examines EPR pair generation and quantum codes within noisy quantum broadcast channels.
  • Analyzed causal constraints and temporal relationships among parties in a tripartite setting.
  • Developed semidefinite programs to compute entanglement fidelity.
  • Established converse bounds for quantum broadcast channel capacity.
  • Identified limits in EPR pair generation for quantum broadcast channels.
  • Proposed strong and weak converse bounds for channel capacity.
  • Demonstrated improvements in PPT-preserving entanglement combing schemes.

Abstract

We investigate the generation of EPR pairs between three observers in a general causally structured setting, where communication occurs via a noisy quantum broadcast channel. The most general quantum codes for this setup take the form of tripartite quantum channels. Since the receivers are constrained by causal ordering, additional temporal relationships naturally emerge between the parties. These causal constraints enforce intrinsic no-signalling conditions on any tripartite operation, ensuring that it constitutes a physically realizable quantum code for a quantum broadcast channel. We analyze these constraints and, more broadly, characterize the most general quantum codes for communication over such channels. We examine the capabilities of codes that are fully no-signalling among the three parties, positive partial transpose (PPT)-preserving, or both, and derive simple semidefinite programs to compute the achievable entanglement fidelity. We then establish a hierarchy of semidefinite programming converse bounds -- both weak and strong -- for the capacity of quantum broadcast channels for EPR pair generation, in both one-shot and asymptotic regimes. Notably, in the special case of a point-to-point channel, our strong converse bound recovers and strengthens existing results. Finally, we demonstrate how the PPT-preserving codes we develop can be leveraged to construct PPT-preserving entanglement combing schemes, and vice versa.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hayden et al. (2025) studied this question.

synapsesocial.com/papers/69473b64db9c958d0dfca792https://doi.org/10.48550/arxiv.2505.07218
Ask AI
Helpful
Bookmark
Share
View Full Paper