Quantum Meta-Learning is a computational framework within quantum machine learning that enables a quantum system to improve its learning algorithm through prior experience by efficiently adapting to new tasks with minimal data, leveraging quantum superposition and entanglement to enhance generalization across task distributions.
18
Publications
1.6K
Citations
81
Authors
51
Institutions
Publications per year
2017–2026
14
Parents
Publications
18
Entanglement devised barren plateau mitigation
Physical Review Research · 2021 · 147 citations · Full text
Computing, Computer Science, Physics +17
1–5 of 18
Authors
81
- GV
2
h-index
- VD
2
h-index
- MB
2
h-index
- PSPablo Suárez Vieites
Association of Electronic and Information Technologies, Spain
1 publications · 30 citations
1
h-index
- NN
1
h-index
1–5 of 81
Institutions
51
University College London
London, United Kingdom
2 h-index
2 publications
328 citations
Ames Research Center
Mountain View, United States
2 h-index
7 publications
714 citations
Research Institute for Advanced Computer Science
Mountain View, United States
2 h-index
4 publications
660 citations
Universität Innsbruck
Innsbruck, Austria
2 h-index
2 publications
389 citations
University of Business and Technology
Jeddah, Saudi Arabia
1 h-index
1 publications
11 citations
Association of Electronic and Information Technologies
Donostia / San Sebastian, Spain
1 h-index
1 publications
30 citations
Shaqra University
Riyadh, Saudi Arabia
1 h-index
4 publications
44 citations
Queen's University Belfast
Belfast, United Kingdom
1 h-index
1 publications
53 citations
1–8 of 51
Venues
- arXiv (Cornell University)
Repository · 2 publications · 386 citations
2
h-index
- Journal of Mathematical Psychology
1 publications · 47 citations
1
h-index
- Quantum Science and Technology
QST · 1 publications · 30 citations
1
h-index
- IEEE Access
1 publications · 11 citations
1
h-index
- Quantum Machine Intelligence
1 publications · 18 citations
1
h-index
1–5