Quantum annealing and condensed matter physics
Viv Kendon, Nicholas Chancellor
TL;DR
This review discusses how quantum annealing, leveraging quantum spin systems, can be used to solve optimization and condensed matter physics problems, highlighting mutual benefits for physics research and hardware development.
Contribution
It provides an overview aimed at condensed matter physicists, emphasizing collaborative opportunities to enhance quantum annealing and its applications in physics.
Findings
Quantum annealing can address condensed matter physics problems.
Current hardware enables solving complex optimization tasks.
Collaboration can improve understanding and performance of quantum annealers.
Abstract
Quantum annealing leverages the properties of interacting quantum spin systems to solve computational problems, typically optimisation problems. Current hardware now has capabilities that can be used to solve condensed matter physics problems, too. In this topical review, we provide an overview of quantum annealing aimed at condensed matter physicists, to show the mutual benefits of working together to understand and improve how quantum annealers work, and to use them to advance condensed matter physics.
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