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We consider a model of an artificial neural network based onquantum-mechanical particles in $W$ potential. These particles play the role ofneurons in our model. To simulate such a quantum-mechanical system theMonte-Carlo integration method is used. A form of the self-potential of aparticle as well as two interaction potentials (exciting and inhibiting) areproposed. Examples of simplest logical elements (such as AND, OR and NOT) areshown. Further we show an implementation of the simplest convolutional networkin framework of our model.

Artificial stochastic neural network on the base of double quantum wells