Stable quantum filters with scattering phenomena

Ahamed, W. U.; Kambhampati, C.

Abstract

Quantum neural network filters for signal processing have received a lot of interest in the recent past. The implementations of these filters had a number of design parameters that led to numerical inefficiencies. At the same time the solution procedures employed were explicit in that the evolution of the time-varying functions had to be controlled. This often led to numerical instabilities. This paper outlines a procedure for improving the stability, numerical efficiency, and the accuracy of quantum neural network filters. Two examples are used to illustrate the principles employed. © 2008 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH.

Citation

Ahamed, W. U., & Kambhampati, C. (2008). Stable quantum filters with scattering phenomena. International Journal of Automation and Computing, 5(2), 132-137. https://doi.org/10.1007/s11633-008-0132-x

• Journal Article Type: Article
• Online Publication Date: May 23, 2008
• Publication Date: 2008-04
• Deposit Date: Nov 13, 2014
• Journal: International Journal Of Automation And Computing
• Print ISSN: 1476-8186
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Issue: 2
• Pages: 132-137
• DOI: https://doi.org/10.1007/s11633-008-0132-x
• Keywords: Filter; Estimation; Quantum neural network; Probability density function; Nonlinear wave equation
• Public URL: https://hull-repository.worktribe.com/output/464660
• Contract Date: Nov 13, 2014