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Quantum Ensemble Classification: A Sampling-Based Learning Control Approach

Chen, Chunlin; Dong, Daoyi; Qi, Bo; Petersen, Ian; Rabitz, Herschel


Quantum ensemble classification (QEC) has significant applications in discrimination of atoms (or molecules), separation of isotopes, and quantum information extraction. However, quantum mechanics forbids deterministic discrimination among nonorthogonal states. The classification of inhomogeneous quantum ensembles is very challenging, since there exist variations in the parameters characterizing the members within different classes. In this paper, we recast QEC as a supervised quantum learning...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: IEEE Transactions on Neural Networks and Learning Systems
DOI: 10.1109/TNNLS.2016.2540719


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