Potential and limitations of random Fourier features for dequantizing quantum machine learning.
Ryan SwekeErik RecioSofiène JerbiElies Gil-FusterBryce FullerJens EisertJohannes Jakob MeyerPublished in: CoRR (2023)
Keyphrases
- machine learning
- feature extraction
- machine learning approaches
- extracted features
- neural network
- knowledge discovery
- feature set
- learning systems
- classification accuracy
- feature vectors
- feature space
- natural language
- pattern recognition
- image sequences
- feature selection
- feature construction
- fourier transform
- frequency domain
- feature generation
- machine learning algorithms
- text mining
- prior knowledge
- computer science
- decision trees
- artificial intelligence
- learning algorithm
- data mining