Experimental learning of quantum states

Andrea Rocchetto
Andrea Rocchetto
Gonzalo Carvacho
Gonzalo Carvacho
Davide Poderini
Davide Poderini
Iris Agresti
Iris Agresti
Marco Bentivegna
Marco Bentivegna

SCIENCE ADVANCES, 2019.

Cited by: 10|Views6
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Abstract:

The number of parameters describing a quantum state is well known to grow exponentially with the number of particles. This scaling limits our ability to characterize and simulate the evolution of arbitrary states to systems, with no more than a few qubits. However, from a computational learning theory perspective, it can be shown that qua...More

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