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Chaos in Quantum Weightless Neuron Node Dynamics
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DOI：10.1016/j.neucom.2015.02.103.png)
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In order to investigate the dynamics of a quantum weightless neuron node we feed its output back as input. Due to the fact that controlled operators used in the neuron circuit usually generate entanglement, we propose a mathematical method to extract the output at time t and build from that output the input at time t+1. As a result the time evolution is a real-valued nonlinear map with one real parameter. The dynamics orbits are plotted showing acute sensitivity to initial conditions clearly exhibiting nonlinearity by just looking at amplitude graphs. The fractal geometry and regions of convergence are discussed by their Julia Set images and a new measure for model comparison is put forward. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Quantum computing
Weightless neural networks
Quantum neural networks
Chaos
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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