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ThinkMind // International Journal On Advances in Systems and Measurements, volume 8, numbers 1 and 2, 2015 // View article sysmea_v8_n12_2015_11


Stochastic Models for Quantum Device Configuration and Self-Adaptation

Authors:
Sandra König
Stefan Rass

Keywords: stochastic modeling; copula; estimation; goodness of fit; quantum network; quantum devices; statistics

Abstract:
Quantum carriers of information are naturally fragile and as such subject to influence by various environmental factors. Cryptographic techniques that exploit the physical properties of light particles to securely transmit information strongly hinge on a proper calibration and parameterizations to correctly distinguish natural distortions from artificial ones, the latter of which would indicate the presence of an attacker. Consequently, it is necessary and useful to know how environmental working conditions influence a quantum device so as to optimize its operational performance (say, the qubit transmission or error rates, etc.). This work extends a previous copula-based modeling approach to build a stochastic model of how different device parameters depend on one another and how they influence the device performance. We give a full detailed practical description of how a model can be fit to the data, how the goodness of fit can be tested, and how the quantities of interest for a self-calibration can be obtained from the resulting stochastic models.

Pages: 124 to 134

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: June 30, 2015

Published in: journal

ISSN: 1942-261x

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