N-Sum Box : An Abstraction for Linear Computation over Many-to-one Quantum Networks

Matteo Allaix*, Yuxiang Lu, Yuhang Yao, Tefjol Pllaha, Camilla Hollanti*, Syed Jafar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Linear computations over quantum many-to-one communication networks offer opportunities for communication cost improvements through schemes that exploit quantum entanglement among transmitters to achieve superdense coding gains, combined with classical techniques such as interference alignment. The problem becomes much more broadly accessible if suitable abstractions can be found for the underlying quantum functionality via classical black box models. This work formalizes such an abstraction in the form of an 'N-sum box', a black box generalization of a two-sum protocol of Song et al. with recent applications to N-server private information retrieval. The N- sum box has a communication cost of N qudits and classical output of a vector of N q-ary digits linearly dependent (via an N x 2N transfer matrix) on 2N classical inputs distributed among N transmitters. We characterize which transfer matrices are feasible by our construction, both with and without the possibility of additional locally invertible classical operations at the transmitters and receivers.

Original languageEnglish
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherIEEE
Pages5457-5462
Number of pages6
ISBN (Electronic)979-8-3503-1090-0
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Conference publication
EventIEEE Global Communications Conference - Kuala Lumpur, Malaysia
Duration: 4 Dec 20238 Dec 2023

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryMalaysia
CityKuala Lumpur
Period04/12/202308/12/2023

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