Paper Info
Title
Analysis of a tripartite entanglement distribution switch
Abstract
We study a quantum switch that distributes tripartite entangled states to sets of users. The entanglement switching process requires two steps: First, each user attempts to generate bipartite entanglement between itself and the switch, and second, the switch performs local operations and a measurement to create multipartite entanglement for a set of three users. In this work, we study a simple variant of this system, wherein the switch has infinite memory and the links that connect the users to the switch are identical. This problem formulation is of interest to several distributed quantum applications, while the technical aspects of this work result in new contributions within queueing theory. The state of the system is modeled as continuous-time Markov chain (CTMC), and performance metrics of interest (probability of an empty system, switch capacity, expectation, and variance of the number of qubit-pairs stored) are computed via the solution of a two-dimensional functional equation obtained by reducing it to a boundary value problem on a closed curve. This work is a follow-up of Nain et al. (Proc ACM Measure Anal Comput Syst(POMACS) 4, 2020) where a switch distributing entangled multipartite states to sets of users was studied, but only the switch capacity and the expected number of stored qubits were derived.
Year
DOI
Venue
2022
10.1007/s11134-021-09731-w
Queueing Systems
Keywords
DocType
Volume
Quantum switch, Markov process, Queueing, Boundary value problem, 60K25, 68M12, 68M20, 81-10, 90B22
Journal
101
Issue
ISSN
Citations 
3
0257-0130
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
P Nain100.34
G Vardoyan200.34
Saikat Guha31546116.91
Don Towsley4186931951.05