Quantum Neural Network Classifiers: A Tutorial

Machine learning has achieved dramatic success over the past decade, with applications ranging from face recognition to natural language processing. Meanwhile, rapid progress been made in field of quantum computation including developing both powerful algorithms and advanced devices. The interplay between machine physics holds intriguing potential for bringing practical modern society. Here, we focus on neural networks form parameterized circuits. We will mainly discuss different structures encoding strategies supervised tasks, benchmark their performance utilizing Yao.jl, a simulation package written Julia Language. codes are efficient, aiming provide convenience beginners scientific works such as variational models assisting corresponding experimental demonstrations.