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

Autor: Behrman, E. C., Bonde, R. E. F., Steck, J. E., Behrman, J. F.
Rok vydání: 2013
Předmět:
Zdroj: IEEE-Transactions on Neural Networks and Learning Systems 25, 1696-1703 (2014)
Druh dokumentu: Working Paper
Popis: Entanglement of a quantum system depends upon relative phase in complicated ways, which no single measurement can reflect. Because of this, entanglement witnesses 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.
Databáze: arXiv