Work

Performance of Domain-Wall Encoding for Quantum Annealing [dataset]

Year: 2021

Type: dataset

Abstract: In this paper we experimentally test the performance of the recently proposed domain-wall en-coding of discrete variables from [Chancellor Quantum Sci. Technol. 4 045004] on Ising model fluxqubit quantum annealers. We compare this encoding with the traditional one-hot methods and findthat they outperform the one-hot encoding for three different problems at different sizes both of theproblem and of the variables. From these results we conclude that the domain-wall encoding yieldssuperior performance against a variety of metrics furthermore, we do not find a single metric bywhich one hot performs better. We even find that a 2000Q quantum annealer with a drastically lessconnected hardware graph but using the domain-wall encoding can outperform the next generationAdvantage processor if that processor uses one-hot encoding.

Source: Durham Research Online (Durham University)

DOI: 10.15128/r11j92g748d

Authors: Jie Chen, Nicholas Chancellor

Institutions: Durham University, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Impact Fund, UK Research and Innovation, Engineering and Physical Sciences Research Council

Award: G1590245666

OpenAlex ID: W3194901186

Cites: 56

Cited by: 42

Related to: 10