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Conferences > QIM > 2019 > F5A > F5A.26

Experimental learning of quantum states

Andrea Rocchetto, Scott Aaronson, Simone Severini, Gonzalo Carvacho, Davide Poderini, Iris Agresti, Marco Bentivegna, and Fabio Sciarrino

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Abstract

The exponential scaling in sample complexity which characterizes quantum tomography can be circumvented using a computational learning theory approach, reducing it to a linear one. Here we experimentally demonstrate this linear scaling in optical systems with up to 6 qubits.

© 2019 The Author(s)

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