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We study the performance of classical and quantum machine learning (ML) models in predicting outcomes of physical experiments.
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Efficient evaluation of quantum observables using entangled measurements
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Predicting many properties of a quantum system from very few measurements
H.-Y. Huang, R. Kueng, and J. Preskill · 2020
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R. Sweke, J.-P. Seifert, D. Hangleiter, and J. Eisert · 2020
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Quantum algorithmic measurement
D. Aharonov, J. Cotler, and X.-L. Qi · 2021
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