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 Learning
Quantum Computing
Near 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