Quantum Convolutional Neural Network for Image Classification using Tensorflow

Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields, in quantum machine learning, quantum computing has been found to be useful for enhanced feature representation and state approximation (Watabe et al. 2021). Quantum computing based on quantum bits (qubits) is inspired by the phenomenon of particles in quantum states. This phenomenon is a superposition phenomenon where a particle in a quantum state can have two states at once (Gultom 2017). The approach to this phenomenon is transformed into computations in 6the form of qubits, namely 0.1 or both (Kaye 2007). Quantum computing uses qubits as the basic unit of information, which is represented by a state vector (Gado and Younes, 2021).