Distance-Independent Entanglement Generation in a Quantum Network using Space-Time Multiplexed Greenberger-Horne-Zeilinger (GHZ) Measurements
Ashlesha Patil, Joshua I. Jacobson, Emily van Milligen, Don Towsley,, Saikat Guha

TL;DR
This paper introduces a distance-independent entanglement generation protocol in quantum networks using space-time multiplexed GHZ measurements, expanding the supercritical region and improving rates through multiplexing and network division.
Contribution
It extends GHZ-based entanglement protocols with space-time multiplexing and network division, achieving near-capacity rates and distance independence in quantum network entanglement generation.
Findings
Distance-independent entanglement rate in certain parameter regions.
Supercritical region expands with multiplexing blocklength $k$.
Approaching the network's min-cut capacity with increased multiplexing.
Abstract
In a quantum network that successfully creates links, shared Bell states between neighboring repeater nodes, with probability in each time slot, and performs Bell State Measurements at nodes with success probability , the end to end entanglement generation rate drops exponentially with the distance between consumers, despite multi-path routing. If repeaters can perform multi-qubit projective measurements in the GHZ basis that succeed with probability , the rate does not change with distance in a certain region, but decays exponentially outside. This region where the distance independent rate occurs is the supercritical region of a new percolation problem. We extend this GHZ protocol to incorporate a time-multiplexing blocklength , the number of time slots over which a repeater can mix-and-match successful links to perform fusion on. As increases, the…
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.
