Exploiting Symmetry in Variational Quantum Machine Learning
Freie Universität Berlin · Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute · +1 more institution
Indexed incrossrefdatacitedoaj
Abstract
A blueprint for exploiting symmetries in the construction of variational quantum learning models that can result in improved generalization performance is developed and demonstrated on practical problems.
Citation impact
174
total citations
- FWCI
- 26.70
- Percentile
- 100%
- References
- 62
Citations per year
Authors
7Topics & keywords
Topics
Keywords
- Blueprint
- Generalization
- Homogeneous space
- Symmetry (geometry)
- Quantum
- Computer science
- Artificial intelligence
- Theoretical physics
No related works found for this paper.