Performance of Domain-Wall Encoding for Quantum Annealing

被引:27
作者
Chen, Jie [1 ]
Stollenwerk, Tobias [2 ]
Chancellor, Nicholas [1 ]
机构
[1] Univ Durham, Dept Phys, Joint Quantum Ctr Durham Newcastle, Durham DH1 3LE, England
[2] German Aerosp Ctr, D-51147 Cologne, Germany
来源
IEEE TRANSACTIONS ON QUANTUM ENGINEERING | 2021年 / 2卷
基金
英国工程与自然科学研究理事会;
关键词
Analogue computer; optimization methods; quantum computing; CUT;
D O I
10.1109/TQE.2021.3094280
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this article, we experimentally test the performance of the recently proposed domain-wall encoding of discrete variables Chancellor, 2019, on Ising model flux qubit quantum annealers. We compare this encoding with the traditional one-hot methods and find that they outperform the one-hot encoding for three different problems at different sizes of both the problem and the variables. From these results, we conclude that the domain-wall encoding yields superior performance against a variety of metrics furthermore; we do not find a single metric by which one hot performs better. We even find that a 2000Q quantum annealer with a drastically less connected hardware graph but using the domain-wall encoding can outperform the next-generation Advantage processor if that processor uses one-hot encoding.
引用
收藏
页数:14
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