Computational Aspects Of Machine Learning And Quantum Computing

This Special Issue aims to bring together the latest theoretical and practical advances in quantum computing and machine learning algorithms, and the combination of them. The focus is on implementing quantum algorithms for solving machine learning problems, such as implementing the classical neural networks with quantum computation models. Topics of interest include efficient qubit-based encoding of data in machine learning tasks, optimization of the parameterized quantum circuits, optimization of the ansatz, quantum-inspired algorithms in deep learning, and machine translation with quantum computers. Manuscripts should be submitted online at www.mdpi.com by the deadline.