TITLE

Quantum aspects of passive neural networks

AUTHOR(S)
Sienko, Wieslaw
PUB. DATE
May 2000
SOURCE
AIP Conference Proceedings;2000, Vol. 517 Issue 1, p345
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents some conjectures on modeling the quantum systems using lossless-orthogonal neural nets. Structure of these nets consists of n compatibly connected (entangled) pairs of neurons-qubits. © 2000 American Institute of Physics.
ACCESSION #
6029442

 

Related Articles

  • A quantum theoretical approach to information processing in neural networks. Barahona da Fonseca, Jose´; Barahona da Fonseca, Isabel; Suarez Araujo, Carmen Paz; Simo˜es da Fonseca, Jose´ // AIP Conference Proceedings;2000, Vol. 517 Issue 1, p330 

    A reinterpretation of experimental data on learning was used to formulate a law on data acquisition similar to the Hamiltonian of a mechanical system. A matrix of costs in decision making specifies values attributable to a barrier that opposed to hypothesis formation about decision making. The...

  • The Ghostly Quantum Worlds. Dugić, Miroljub; Raković, Dejan; Jeknić-Dugić, Jasmina; Arsenijević, Momir // NeuroQuantology;Dec2012, Vol. 10 Issue 4, p619 

    We present the foundations of a new emerging interpretation of quantum theory bearing wide-range implications. Physical basis of the interpretation is non-questionable yet relatively new - it relies on the different structures (decompositions into parts, subsystems) of the quantum Universe. We...

  • Improved transmission of vector quantized data over noisy channels. Chi-Sing Leung; Sum, John; Chan, Herbert // Neural Computing & Applications;2008, Vol. 17 Issue 1, p1 

    The conventional channel-optimized vector quantization (COVQ) is very powerful in the protection of vector quantization (VQ) data over noisy channels. However, it suffers from the time consuming training process. A soft decoding self-organizing map (SOM) approach for VQ over noisy channels is...

  • Quantum Competitive Neural Network. Rigui Zhou // International Journal of Theoretical Physics;Jan2010, Vol. 49 Issue 1, p110 

    Quantum Neural Network (QNN) is a fledging science built upon the combination of classical neural network and quantum computing. After analyzing of traditional competitive neural network, this paper firstly presents a Quantum Competitive Neural Network (QCNN) that can recognize patterns and...

  • Quantum Neural Networks Based Performance Evaluation Model of Bus Rapid Transit System. Liu Dongxu; Huang Zhi; Dong Hongzhao // Information Technology Journal;2014, Vol. 13 Issue 7, p1391 

    Bus Rapid Transit (BRT) system is the emerging transportation system in recent years. Currently it is difficult to value the performance of such a complicated BRT system. To solve the issue, a new evaluation model of BRT system based on Quantum Neural Networks (QNN) was proposed. The specific...

  • Using redundant coordinates to represent potential energy surfaces with lower-dimensional functions. Manzhos, Sergei; Carrington, Tucker // Journal of Chemical Physics;7/7/2007, Vol. 127 Issue 1, p014103 

    We propose a method for fitting potential energy surfaces with a sum of component functions of lower dimensionality. This form facilitates quantum dynamics calculations. We show that it is possible to reduce the dimensionality of the component functions by introducing new and redundant...

  • A RECURRENT QUANTUM NEURAL NETWORK MODEL TO DESCRIBE EYE TRACKING OF MOVING TARGETS. Behera, Laxmidhar; Kar, Indrani; Elitzur, Avshalom C. // Foundations of Physics Letters;Aug2005, Vol. 18 Issue 4, p357 

    A theoretical quantum neural network model is proposed using a nonlinear Schrödinger wave equation. The model proposes that there exists a nonlinear Schrödinser wave equation that mediates the collective response of a neural lattice. The model is used to explain eye movements when tracking...

  • Implementation of Hadamard Gate Using Quantum Artificial Neural Network. Nayak, Shaktikanta; Nayak, Sitakanta; Singh, J. P. // International Journal of Advanced Research in Computer Science;May2011, Vol. 2 Issue 3, p445 

    The goal of the artificial neural network is to create powerful artificial problem solving systems. The field of quantum computation applies ideas from quantum mechanics to the study of computation and has made interesting progress. Quantum Artificial Neural Network (QANN) is one of the new...

  • Neural networks and quantum neurology: a speculative heuristic towards the formal architecture of psychism. Javier Monserrat // Natural Computing;Dec2009, Vol. 8 Issue 4, p645 

    Abstract  A new line of investigation known as quantum neurology has been born in recent years. One of its objectives is to accomplish a better explanation of psychism. It basically explains the unity of consciousness, its holistic character, and the indeterminism of its responses. How is...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics