Browsing by Author "1831592642"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Open Access
    Hybrid Approach in Quantum Generative Adversarial Network
    (North South University, 2023) Arabindo Das Himu; Mahdy Rahman Chowdhury; 1831592642
    This project explores the application of quantum computing techniques in the domain of generative adversarial networks (GANs) for image synthesis, specifically targeting the well-known MNIST dataset of handwritten digits. Leveraging TensorFlow Quantum (TFQ), this research delves into hybrid quantum-classical architectures, combining the power of quantum circuits with classical deep learning models. This project aims to demonstrate the potential of quantum GAN in generating synthetic images. This study's methodology includes data encoding, quantum circuit design, and classical optimization. The experimental results showcase the ability to generate fake samples. Compared with the classical counterpart, the project shows an improvement in generating samples over multiple epochs. However, after running 100 epochs, the hybrid version that uses both quantum circuits and classical neural networks shows a decreasing point in improvement compared to the classical counterpart that was able to improve over time without a decreasing point of improvement. While the current development of this project shows the capability of generating fake samples, further research is necessary to increase its performance and overcome the related issues. This tells us the potential usage of real-world applications that can be done with the capability of quantum computing on machine learning in generative tasks.