Print Email Facebook Twitter Quantum Machine Learning: Benefits and Practical Example Title Quantum Machine Learning: Benefits and Practical Example Author Phillipson, F. Publication year 2020 Abstract A quantum computer that is useful in practice, is expected to be developed in the next few years. An important application is expected to be machine learning, where benefits are expected on run time, capacity and learning efficiency. In this paper, these benefits are presented and for each benefit an example application is presented. A quantum hybrid Helmholtz machine use quantum sampling to improve run time, a quantum Hopfield neural network shows an improved capacity and a variational quantum circuit based neural network is expected to deliver a higher learning efficiency. Subject Quantum Machine LearningQuantum ComputingNear Future Quantum Applications To reference this document use: http://resolver.tudelft.nl/uuid:e9273274-6cc8-4b04-a8a3-895376d6182f TNO identifier 875886 Source Conference: International Workshop on QuANtum SoftWare Engineering & pRogramming (QANSWER), Talavera Spain Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.