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Performance of Domain-Wall Encoding for Quantum Annealing

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TLDR
In this article, the authors compared domain-wall encoding with one-hot encoding for three different problems at different sizes of both the problem and the variables, and concluded that domainwall encoding yields superior performance against a variety of metrics.
Abstract
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.

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Quantum annealing for industry applications: introduction and review

TL;DR: In this article , the authors provide a literature review of the theoretical motivations for QA as a heuristic quantum optimization algorithm, the software and hardware that is required to use such quantum processors, and the state-of-the-art applications and proofs of concepts that have been demonstrated using them.

Quantum approximate optimization algorithm for qudit systems with long-range interactions

TL;DR: In this article , the authors discuss the quantum approximate optimization algorithm (QAOA) for qudit systems and layout its implementation in platforms with long-range interactions between qudits such as trapped ions, cold atomic mixtures, Rydberg atoms and atoms in cavities.
Journal ArticleDOI

Understanding domain-wall encoding theoretically and experimentally

TL;DR: In this article , the authors show that for problems of practical interest for quantum computing and assuming only quadratic interactions are available between the binary variables, it is not possible to have a more efficient general encoding in terms of number of binary variables per discrete variable.
Posted Content

Understanding domain-wall encoding theoretically and experimentally

TL;DR: In this article, the performance of encoding pairwise interactions of higher-than-binary discrete variables (these models are sometimes referred to as discrete quadratic models) into binary variables based on domain walls on one dimensional Ising chains was analyzed.
Journal ArticleDOI

Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems

TL;DR: This manuscript presents an intuitive method for synthesizing and analyzing discrete (i.e., integer-based) optimization problems, wherein the problem and corresponding algorithmic primitives are expressed using a discrete quantum intermediate representation (DQIR) that is encoding-independent.
References
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Journal ArticleDOI

Matplotlib: A 2D Graphics Environment

TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
Journal ArticleDOI

IPython: A System for Interactive Scientific Computing

TL;DR: The IPython project as mentioned in this paper provides an enhanced interactive environment that includes, among other features, support for data visualization and facilities for distributed and parallel computation for interactive work and a comprehensive library on top of which more sophisticated systems can be built.
Journal ArticleDOI

Quantum annealing in the transverse Ising model

TL;DR: In this article, the authors introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence to the optimal state. But quantum fluctuations cause transitions between states and thus play the same role as thermal fluctuations in the conventional approach.
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