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.
Experimental learning of quantum states / Rocchetto, Andrea; Aaronson, Scott; Severini, Simone; Carvacho, Gonzalo; Poderini, Davide; Agresti, Iris; Bentivegna, Marco; Sciarrino, Fabio. - (2019), p. F5A.26. (Intervento presentato al convegno Quantum Information and Measurement (QIM) V: Quantum Technologies tenutosi a Rome, Italy) [10.1364/QIM.2019.F5A.26].
Experimental learning of quantum states
Carvacho, Gonzalo;Poderini, Davide;Agresti, Iris;Bentivegna, Marco;Sciarrino, Fabio
2019
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.File allegati a questo prodotto
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