On the correction of anomalous phase oscillation in entanglement witnesses using quantum neural networks

No Thumbnail Available
Authors
Behrman, Elizabeth C.
Bonde, Richard E. F.
Steck, James E.
Behrman, Joanna F.
Advisors
Issue Date
2013-10-01
Type
Article
Keywords
Neural networks , Oscillators , Quantum computing , Quantum entanglement , Testing , Time measurement , Training , Entanglement , Entanglement witness , Quantum backpropagation , Quantum computing , Quantum neural network (QNN) , Supervised learning
Research Projects
Organizational Units
Journal Issue
Citation
Behrman, E.C.; Bonde, R.E.F.; Steck, J.E.; Behrman, J.F., "On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks," Neural Networks and Learning Systems, IEEE Transactions on , vol.PP, no.99, pp.1,1, 0 doi: 10.1109/TNNLS.2013.2281938
Abstract

Entanglement of a quantum system depends upon the relative phase in complicated ways, which no single measurement can reflect. Because of this, "entanglement witnesses'' (measures that estimate entanglement) are necessarily limited in applicability and/or utility. We propose here a solution to the problem using quantum neural networks. A quantum system contains the information of its entanglement; thus, if we are clever, we can extract that information efficiently. As proof of concept, we show how this can be done for the case of pure states of a two-qubit system, using an entanglement indicator corrected for the anomalous phase oscillation. Both the entanglement indicator and the phase correction are calculated by the quantum system itself acting as a neural network.

Table of Contents
Description
Click on the DOI link to access the article (may not be free)
Publisher
IEEE
Journal
Book Title
Series
IEEE Transactions on Neural Networks and Learning Systems;
;2013
PubMed ID
DOI
ISSN
2162-237X
EISSN