Toggle Main Menu Toggle Search

Open Access padlockePrints

Improving success probability in Lechner-Hauke-Zoller parity embedding by computing with quantum walks

Lookup NU author(s): Dr Nick ChancellorORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Lechner-Hauke-Zoller (LHZ) parity embedding is one of the front-running methods for implementing difficult-to-engineer long-range interactions in quantum optimization problems. Continuous-time quantum walks are a leading approach for solving quantum optimization problems. Because they populate excited states, quantum walks can avoid the exponential gap-closing problems seen in other continuous-time techniques such as quantum annealing and adiabatic quantum computation. An important question, therefore, is how continuous-time quantum walks perform in combination with the LHZ parity embedding. By numerically simulating continuous-time quantum walks on four-, five-, and six-logical-qubit Sherrington-Kirkpatrick Ising spin glass instances embedded onto the LHZ parity embedding, we are able to verify the continued efficacy of heuristics used to estimate the optimal hopping rate and the numerical agreement with the theory behind the location of the lower bound of the LHZ parity constraint strength. In addition, by comparing several different LHZ-based decoding methods, we identified postreadout error correction techniques which improve the success probability of the quantum walk.


Publication metadata

Author(s): Bennett J, Chancellor N, Kendon V, Lechner W

Publication type: Article

Publication status: Published

Journal: Physical Review A

Year: 2025

Volume: 112

Online publication date: 23/10/2025

Acceptance date: 17/09/2025

Date deposited: 12/02/2026

ISSN (print): 2469-9926

ISSN (electronic): 2469-9934

Publisher: American Physical Society

URL: https://doi.org/10.1103/my7q-8tbj

DOI: 10.1103/my7q-8tbj

Data Access Statement: The data that support the findings of this article are openly available

Notes: PRA publishes both open access and using a non-open access model, this paper was published open-access.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
Austrian Research Promotion Agency (FFG Project No. FO999896208)
Austrian Science Fund (FWF) SFB Beyond C Project No. F7108-N38, through a START grant under Projects No. Y1067-N27 and No. I 6011
QuantERA II Programme that has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 101017733
UKRI EPSRC International Network on Quantum Annealing (Grant No. EP/W027003/1)
V.K. and N.C. were funded by UKRI EPSRC UK Quantum Technology Hub in Computing and Simulation (Grant No. EP/T001062/1)

Share