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In this paper we present a model to solve problems based on quantum machine learning approach using optical neural networks. Quantum computers and quantum-based machine learning approaches are gathering momentum in today’s Industry 4 era to solve certain data centric problems. However, the quantum computers are still in incubation stage and technologies still need to evolve to solve such problems. Optical neural networks provide a solution to solve such problems by carrying out the basic functionality and operations of qubits. It is essential to create a model for the same formulate strategies to solve real world problems. The optical neural network provides an improvement in learning rate and inference reliability improves by 34% and 33% respectively, compared to a conventional neural network.

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Optical Neural Networks – A Strategy for Secure Quantum Computing

  • 会议论文

  • 发表日期：

    2025年

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  • K. Pradheep Kumar

摘要

In this paper we present a model to solve problems based on quantum machine learning approach using optical neural networks. Quantum computers and quantum-based machine learning approaches are gathering momentum in today’s Industry 4 era to solve certain data centric problems. However, the quantum computers are still in incubation stage and technologies still need to evolve to solve such problems. Optical neural networks provide a solution to solve such problems by carrying out the basic functionality and operations of qubits. It is essential to create a model for the same formulate strategies to solve real world problems. The optical neural network provides an improvement in learning rate and inference reliability improves by 34% and 33% respectively, compared to a conventional neural network.