In recent years, the dramatic progress in machine learning has begun to impact many areas of science and technology significantly. In the present perspective article, we explore how quantum technologies are benefiting from this revolution. We showcase in illustrative examples how scientists in the past few years have started to use machine learning and more broadly methods of artificial intelligence to analyze quantum measurements, estimate the parameters of quantum devices, discover new quantum experimental setups, protocols, and feedback strategies, and generally improve aspects of quantum computing, quantum communication, and quantum simulation. We highlight open challenges and future possibilities and conclude with some speculative visions for the next decade.
翻译:近年来,机器学习的飞跃进展已开始对科学和技术的许多领域产生重大影响。我们从目前的角度探讨量子技术如何从这一革命中受益。我们以示例形式展示了过去几年里科学家们如何开始使用机器学习和更广泛的人工智能方法来分析量子测量、估计量子装置参数、发现新的量子实验设置、协议和反馈战略,并普遍改善量子计算、量子通信和量子模拟等方面。我们强调了公开的挑战和未来的可能性,并以未来十年的一些投机性愿景为结论。