Local entanglement transfer to multiple pairs of spatially separated observers
Tanmoy Mondal, Kornikar Sen, Chirag Srivastava, Ujjwal Sen

TL;DR
This paper explores how to transfer entanglement from a single entangled pair to multiple pairs of spatially separated observers using local unitaries, enabling efficient sharing of quantum resources.
Contribution
It introduces a method to sequentially transfer entanglement to multiple pairs with limited initial entanglement, optimizing the process with local unitaries.
Findings
Entanglement can be transferred to multiple pairs using joint unitaries.
The maximum number of pairs receiving entanglement depends on initial entanglement.
Optimal local unitaries maximize the number of pairs with at least a fixed entanglement amount.
Abstract
Entanglement is an advantageous but at the same time a costly resource utilized in various quantum tasks. For an efficient usage and deployment of entanglement, we envisage the scenario where a pair of spatially separated observers, Charu and Debu, want to share entanglement without interacting with each other. As a way out, their systems can separately and locally interact with those of Alice and Bob, respectively, who already share an entangled state. We ask if it is possible to transfer entanglement from the Alice-Bob pair to multiple Charu- Debu pairs, where the Alice-Bob pair only possesses a limited amount of pre-shared entanglement. We find joint unitaries, which when applied by Alice and one of the Charus, and by Bob and the corresponding Debu, such that a nonzero amount of the entanglement shared between Alice and Bob can be sequentially transferred to an indefinite number of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
