Quantum annealing is a computing paradigm that has the ambitious goal of efficiently solving large-scale combinatorial optimization problems of practical importance. However, many challenges have yet to be overcome before this goal can be reached. This perspectives article first gives a brief introduction to the concept of quantum annealing, and then highlights new pathways that may clear the way towards feasible and large scale quantum annealing. Moreover, since this field of research is to a strong degree driven by a synergy between experiment and theory, we discuss both in this work. An important focus in this article is on future perspectives, which complements other review articles, and which we hope will motivate further research.

中文翻译：

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量子退火的观点：方法和实现

量子退火是一种计算范式，其雄心勃勃的目标是有效解决具有实际重要性的大规模组合优化问题。然而，在实现这一目标之前，还有许多挑战需要克服。这篇观点文章首先简要介绍了量子退火的概念，然后重点介绍了可能为可行的大规模量子退火扫清道路的新途径。此外，由于这个研究领域在很大程度上是由实验和理论之间的协同作用驱动的，我们在这项工作中讨论了两者。本文的一个重要重点是未来的观点，它补充了其他评论文章，我们希望这将激励进一步的研究。