Artificial Intelligence and Machine Learning for Quantum Technologies
- URL: http://arxiv.org/abs/2208.03836v1
- Date: Sun, 7 Aug 2022 23:02:55 GMT
- Title: Artificial Intelligence and Machine Learning for Quantum Technologies
- Authors: Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt
- Abstract summary: We showcase in illustrative examples how scientists in the past few years have started to use machine learning to analyze quantum measurements.
We highlight open challenges and future possibilities and conclude with some speculative visions for the next decade.
- Score: 6.25426839308312
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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