Unsupervised Classification of Quantum Data
We introduce the problem of unsupervised classification of quantum data, namely, of systems whose quantum states are unknown. We derive the optimal single-shot protocol for the binary case, where the states in a disordered input array are of two types. Our protocol is universal and able to automatic...
Main Authors: | Gael Sentís, Alex Monràs, Ramon Muñoz-Tapia, John Calsamiglia, Emilio Bagan |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2019-11-01
|
Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.9.041029 |
Similar Items
-
Quantum change point
by: Sentís, G, et al.
Published: (2016) -
Beating noise with abstention in state estimation
by: Bernat Gendra, et al.
Published: (2012-01-01) -
Volumes of parent Hamiltonians for benchmarking quantum simulators
by: María García Díaz, et al.
Published: (2022-06-01) -
Probabilistic metrology or how some measurement outcomes render ultra-precise estimates
by: J Calsamiglia, et al.
Published: (2016-01-01) -
Quantumness of correlations, quantumness of ensembles and quantum data hiding
by: M Piani, et al.
Published: (2014-01-01)