Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.
Jonas SteinMichael PoppelPhilip AdamczykRamona FabryZixin WuMichael KölleJonas NüßleinDaniëlle SchumanPhilipp AltmannThomas EhmerVijay NarasimhanClaudia Linnhoff-PopienPublished in: ICAART (3) (2024)
Keyphrases
- noisy data
- quantum computation
- quantum computing
- noise tolerant
- intrinsic dimensionality
- learning from noisy data
- high dimensional
- noise free
- quantum inspired
- missing data
- input data
- training data
- quantum mechanics
- probability ranking principle
- high dimensionality
- pattern recognition
- decision trees
- image processing
- neural network
- data sets