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Efficiently measuring a quantum device using machine learning
- Source :
- npj Quantum Information, Vol 5, Iss 1, Pp 1-8 (2019), npj Quantum Information
- Publication Year :
- 2019
- Publisher :
- Springer Nature, 2019.
-
Abstract
- Scalable quantum technologies such as quantum computers will require very large numbers of quantum devices to be characterised and tuned. As the number of devices on chip increases, this task becomes ever more time-consuming, and will be intractable on a large scale without efficient automation. We present measurements on a quantum dot device performed by a machine learning algorithm in real time. The algorithm selects the most informative measurements to perform next by combining information theory with a probabilistic deep-generative model that can generate full-resolution reconstructions from scattered partial measurements. We demonstrate, for two different current map configurations that the algorithm outperforms standard grid scan techniques, reducing the number of measurements required by up to 4 times and the measurement time by 3.7 times. Our contribution goes beyond the use of machine learning for data search and analysis, and instead demonstrates the use of algorithms to automate measurements. This works lays the foundation for learning-based automated measurement of quantum devices.
- Subjects :
- FOS: Computer and information sciences
Computer Science - Machine Learning
Computer Networks and Communications
Computer science
FOS: Physical sciences
02 engineering and technology
Machine learning
computer.software_genre
Information theory
01 natural sciences
lcsh:QA75.5-76.95
Machine Learning (cs.LG)
0103 physical sciences
Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Computer Science (miscellaneous)
010306 general physics
Quantum
Quantum computer
Quantum Physics
Condensed Matter - Mesoscale and Nanoscale Physics
business.industry
Probabilistic logic
Statistical and Nonlinear Physics
021001 nanoscience & nanotechnology
Grid
Automation
lcsh:QC1-999
Quantum technology
Computational Theory and Mathematics
Scalability
lcsh:Electronic computers. Computer science
Artificial intelligence
0210 nano-technology
business
Quantum Physics (quant-ph)
computer
lcsh:Physics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- npj Quantum Information, Vol 5, Iss 1, Pp 1-8 (2019), npj Quantum Information
- Accession number :
- edsair.doi.dedup.....3c2c16397396116fb62135d15cdc6749