EPJ Web of Conferences
Volume 108, 2016Mathematical Modeling and Computational Physics (MMCP 2015)
|Number of page(s)||6|
|Published online||09 February 2016|
Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
1 Space Research Institute RAS, Profsoyuznaya 84/32, Moscow, 117997, Russia
2 National University of Science and Technology “MISIS”, Leninsky prospect 4, Moscow, 119049, Russia
3 Joint Institute for Nuclear Research, Joliot Curie 6, Dubna, 141980, Russia
4 Institute of Spectroscopy RAS, Troitsk, Moscow, 142190, Russia
5 Quantum Chemistry Laboratory, Kyoto University, Kyoto, 606-8502, Japan
Published online: 9 February 2016
We present the results of the simulation of a quantum neural network based on quantum dots using numerical method of path integral calculation. In the proposed implementation of the quantum neural network using an array of single-electron quantum dots with dipole-dipole interaction, the coherence is shown to survive up to 0.1 nanosecond in time and up to the liquid nitrogen temperature of 77K.We study the quantum correlations between the quantum dots by means of calculation of the entanglement of formation in a pair of quantum dots on the GaAs based substrate with dot size of 100 ÷ 101 nanometer and interdot distance of 101 ÷ 102 nanometers order.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.