Autonomous Perceptron Neural Network Inspired from Quantum computing

TL;DR

This paper proposes a novel neural network model inspired by quantum computing principles, aiming to enhance autonomous learning capabilities.

Contribution

Introduction of a perceptron neural network architecture inspired by quantum computing concepts, with potential improvements in autonomous learning.

Findings

Preliminary model design based on quantum principles

Potential for improved learning efficiency

Future work to validate the model experimentally

Abstract

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