Machine-learning based noise characterization and correction on neutral atoms NISQ devices.
Ettore CanoniciStefano MartinaRiccardo MengoniDaniele OttavianiFilippo CarusoPublished in: CoRR (2023)
Keyphrases
- machine learning
- signal to noise ratio
- imaging devices
- machine learning algorithms
- noise level
- inductive learning
- pattern recognition
- mobile devices
- machine learning methods
- learning algorithm
- explanation based learning
- linear combination
- semi supervised learning
- knowledge acquisition
- text mining
- artificial intelligence
- active learning
- computational intelligence
- random noise
- image noise
- median filter
- decision trees
- noisy data
- learning systems
- natural language processing
- model selection
- knowledge discovery
- statistical methods
- wavelet transform
- computer science
- mobile applications
- feature selection
- context aware
- computer vision
- arbitrary shape
- denoising
- text classification