Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
Abstract As the rapidly evolving field of machine learning continues to produce incredibly useful tools and models, the potential for quantum computing to provide speed up for machine learning algorithms is becoming increasingly desirable. In particular, quantum circuits in place of classical convolutional filters for image detection-based tasks are being …