paper
2023
Local & station forecasting
New model or method
Other6 h–3 days Journal
2023-01-29
008
Jan 2023
Besir Ogur, İhsan Yılmaz
Quantum Information and Computation
Shows that entanglement and superposition layers improve variational quantum circuits for weather forecasting on small datasets, reducing the number of variational layers needed.
The effect of superposition and entanglement on hybrid quantum machine learning for weather forecasting
In one sentence. Shows that entanglement and superposition layers improve variational quantum circuits for weather forecasting on small datasets, reducing the number of variational layers needed.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.26421/qic23.3-4-1 OpenAlex:W4319449194
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.