Development of Quantum Circuits for Perceptron Neural Network Training, Based on the Principles of Grover's Algorithm

• URL: http://arxiv.org/abs/2110.09891v1
• Date: Fri, 15 Oct 2021 13:07:18 GMT
• Title: Development of Quantum Circuits for Perceptron Neural Network Training, Based on the Principles of Grover's Algorithm
• Authors: Cesar Borisovich Pronin, Andrey Vladimirovich Ostroukh
• Abstract summary: This paper highlights the possibility of forming quantum circuits for training neural networks. The perceptron was chosen as the architecture for the example neural network.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper highlights a practical research of the possibility of forming quantum circuits for training neural networks. The demonstrated quantum circuits were based on the principles of Grover's Search Algorithm. The perceptron was chosen as the architecture for the example neural network. The multilayer perceptron is a popular neural network architecture due to its scalability and applicability for solving a wide range of problems.

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