HYBRID DEEP NEURAL NETWORKS WITH QUANTUM CIRCUIT FOR IMAGE CLASSIFICATION

Authors

  • Trochun Yevhenii Volodymyrovych National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Gordienko Yuri Hryhorovych National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Stirenko Sergii Hryhorovych National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

The article describes hybrid convolutional neural network that uses one quantum circuit for image classification. Described the structure of the network, structure of the quantum circuit, compared several different quantum circuits with different number of qubits. The hybrid neural network was evaluated on MNIST Fashion dataset, which is radically different from MNIST dataset. Performance of hybrid neural network was compared for multiclass classification on MNIST and MNIST Fashion datasets for 4, 6, 8, 10 classes using quantum circuits with 2, 3, 4 qubits.

Key words: neural networks, quantum computing, quantum machine learning, deep learning

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Published

2023-11-08

Issue

2021

Section

Machine learning, Big Data