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The problem of efficient quantum state learning, also called shadow tomography, aims to comprehend an unknown $d$-dimensional quantum state through POVMs.
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Johan Åberg · 2014
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Joel Wallman, Chris Granade, Robin Harper, and Steven T. Flammia · 2015
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Harrison Ball, Thomas M. Stace, Steven T. Flammia, and Michael J. Biercuk · 2016
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Richard Kueng, David M. Long, Andrew C. Doherty, and Steven T. Flammia · 2016
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“Gentle measurement of quantum states and differential privacy”
Scott Aaronson and Guy N Rothblum · 2019
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Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, and et al · 2019
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Eric Chitambar and Gilad Gour · 2019
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Feidiao Yang, Jiaqing Jiang, Jialin Zhang, and Xiaoming Sun · 2020
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“Parameter-free, dynamic, and strongly-adaptive online learning”
Ashok Cutkosky · 2020
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