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Stable quantum filters with scattering phenomena

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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.

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Authors and Affiliations

  1. Department of Computer Science, University of Hull, Cottingham Road, Hull, HU67RX, UK

    W. U. Ahamed & C. Kambhampati

Authors
  1. W. U. Ahamed
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  2. C. Kambhampati
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Correspondence to W. U. Ahamed.

Additional information

W. U. Ahamed received his M. Sc. degree in applied mathematics from the University of Dhaka, Bangladesh, in 1991 and M. Sc. degree in mathematical finance from the University of Hull, England, in 2004. In 1991, he was a faculty member at the International University of Business Agriculture and Technology, Bangladesh, in 1995 at MARA Community College, Malaysia and in 1998 at University Tenaga National, Malaysia. Currently, he is a research student at the University of Hull, England.

His research interests include filtering theory and control system.

C. Kambhampati received his Ph.D. degree from City University, London, for his dissertation on algorithms for optimizing control in 1988. He currently is a reader at the Department of Computer Science at the University of Hull. Previous to this he held positions in the Department of Cybernetics, at the University of Reading, and the Department of Chemical and Process Engineering, at the University of Newcastle Upon Tyne. He has authored and co-authored over 100 papers on optimization, adaptive optimization, optimal control, neural networks, and fuzzy logic for control and robotics. He heads the Neural, Emergent and Agent Technologies (NEAT) Group. He is a member of IEEE and IEE.

His research interests include fault tolerant control, networked control systems, signal processing, neural networks, and multiagent systems.

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Ahamed, W.U., Kambhampati, C. Stable quantum filters with scattering phenomena. Int. J. Autom. Comput. 5, 132–137 (2008). https://doi.org/10.1007/s11633-008-0132-x

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  • DOI: https://doi.org/10.1007/s11633-008-0132-x

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