论文标题
量子计算中研究活动的里程碑：EPS大挑战
Milestones of research activity in quantum computing: EPS grand challenges
论文作者
论文摘要
我们认为，量子计算大约在2017年经历了一个拐点。长期承诺的资金实现了，这促使全球公共和私人投资。机器学习的技术突然影响了该领域的中心方面。一方面，机器学习被用来模拟量子系统。另一方面，量子算法被视为一种新型的机器学习模型（创建{\ it差异}量子计算的新模型）。在这里，我们绘制一些导致拐点的里程碑。我们认为，当量子计算机首先解决实际问题时，下一个拐点将发生。我们预计，到2050年，如果世界仍将适应量子计算机带来的可能性，这将变得司空见惯。
We argue that quantum computing underwent an inflection point circa 2017. Long promised funding materialised which prompted public and private investments around the world. Techniques from machine learning suddenly influenced central aspects of the field. On one hand, machine learning was used to emulate quantum systems. On the other hand, quantum algorithms became viewed as a new type of machine learning model (creating the new model of {\it variational} quantum computation). Here we sketch some milestones which have lead to this inflection point. We argue that the next inflection point would occur around when practical problems will be first solved by quantum computers. We anticipate that by 2050 this would have become commonplace, were the world would still be adjusting to the possibilities brought by quantum computers.
