ArXiv TLDR

Bipartite entanglement harvesting with multiple detectors

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2604.13869

Santeri Salomaa, Esko Keski-Vakkuri, Sergi Nadal-Gisbert

quant-phgr-qchep-th

TLDR

This paper investigates how multiple Unruh-DeWitt detectors can optimally harvest bipartite entanglement from the quantum vacuum, showing linear scaling.

Key contributions

  • Studies bipartite entanglement harvesting from quantum vacuum using multiple Unruh-DeWitt detectors.
  • Shows leading-order negativity scales linearly with detector count, determined by a submatrix.
  • Identifies optimal spatial arrangements for 3- and 4-detector configurations via analytic expressions.
  • Finds harvested entanglement scales linearly with detector number in a linear chain.

Why it matters

This research clarifies how to arrange multiple quantum detectors to maximize entanglement extraction from the vacuum. It shows that increasing the number of detectors significantly broadens the conditions under which entanglement can be harvested, which is crucial for quantum information processing.

Original Abstract

We study bipartite entanglement harvesting from the quantum vacuum of a massless scalar field between two subsystems, each composed of a finite number of Unruh-DeWitt detectors. Using perturbation theory, we show that the leading-order negativity is fully determined by a submatrix of the reduced density matrix, with the submatrix dimension scaling only linearly with the number of detectors. Within this framework, we analyze how the detectors' spatial arrangement influences harvesting. For all three-detector configurations and several symmetric four-detector configurations, we derive analytic expressions for the negativity and identify the configurations that maximize it. For a linear chain, we find that the harvested entanglement scales linearly with the number of detectors. These results clarify how to arrange multiple detectors to optimize harvesting and show that increasing their number broadens the ranges of energy gaps and separations over which entanglement can be extracted from the field.

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