Quantum machine learning: from physics to software engineering

Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides two-fold overview several key approaches that can offer advancements in both development technologies power Among these are quantum-enhanced algorithms, which apply software engineering to classical information processing improve keystone solutions. In this context, we explore capability hybrid quantum-classical neural networks model generalization increase accuracy while reducing computational resources. We also illustrate how be used mitigate effects errors on presently available noisy intermediate-scale devices, understand advantage via an automatic study walk processes graphs. addition, hardware enhanced by applying fundamental applied physics problems as well tomography photonics. aim demonstrate concepts translated into practical solutions using software.