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PhysRevA.100.052317.pdf (1.75 MB)

Quantum invariants and the graph isomorphism problem

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journal contribution
posted on 2019-12-06, 11:24 authored by PW Mills, Russell Rundle, John Samson, Simon J Devitt, Todd Tilma, Vincent Dwyer, Mark EverittMark Everitt
Three graph invariants are introduced which may be measured from a quantum graph state and form examples of a framework under which other graph invariants can be constructed. Each invariant is based on distinguishing a different number of qubits. This is done by applying different measurements to the qubits to be distinguished. The performance of these invariants is evaluated and compared to classical invariants. We verify that the invariants can distinguish all nonisomorphic graphs with nine or fewer nodes. The invariants have also been applied to “classically hard” strongly regular graphs, successfully distinguishing all strongly regular graphs of up to 29 nodes, and preliminarily to weighted graphs. We have found that, although it is possible to prepare states with a polynomial number of operations, the average number of preparations required to distinguish nonisomorphic graph states scales exponentially with the number of nodes. We have so far been unable to find operators which reliably compare graphs and reduce the required number of preparations to feasible levels.

Funding

Engineering and Physical Sciences Research Council Grant No. EP/N509516/1

Promotion of Science KAKENHI (C) Grant No. JP17K05569.

Australian Research Council Centre of Excellence in Engineered Quantum Systems EQUS Project No. CE110001013.

History

School

  • Science

Department

  • Physics

Published in

Physical Review A

Volume

100

Issue

5

Publisher

American Physical Society (APS)

Version

  • VoR (Version of Record)

Publisher statement

This is an Open Access Article. It is published by American Physical Society under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2019-05-16

Publication date

2019-11-13

ISSN

2469-9926

eISSN

2469-9934

Language

  • en

Depositor

Dr Mark Everitt Deposit date: 4 December 2019

Article number

052317

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