Abstract
The aim and objectives of this chapter is to introduce the principles and fundamental concepts of elements which are used as building block of new and emerging neural systems. The first section introduces quantum logic and quantum algebra. Only those concepts relevant to ANNs’ gates production are introduced, and as such the mathematics involved has been kept to a minimum. The second section introduce a new non-volatile memory elements; the memristance. Since these phenomena are well known prior to their formal discovery (formulation), the fundamental concepts and the phenomena forms the subject of discussion in this chapter. The chapter has striven to be self-contained and brief in order to describe and impart information relevant to understanding of the ANNs’ elements.
Keywords: Adjoint, Bell state, Cauchy-Schwarz inequality, C-NOT, Conjugate, Eigenvalue, Eigenvector, EPR pair, Flux linkage, Hadamard gate, Hermittian, Memristance, NAND, Orthonormal, Pauli matrices, Quantum gate, Qubit, Qu- NOT, Universal gate, XOR.
Related Journals
Related Books
Computational Intelligence For Data Analysis
Machine Learning and Its Application: A Quick Guide for Beginners
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Ad Hoc and Sensor Wireless Networks: Architectures, Algorithms and Protocols
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink