An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients.
Marco WiedmannMarc HölleManiraman PeriyasamyNico MeyerChristian UfrechtDaniel D. SchererAxel PlingeChristopher MutschlerPublished in: CoRR (2023)
Keyphrases
- machine learning
- knowledge acquisition
- data mining
- machine learning methods
- machine learning approaches
- machine learning algorithms
- learning algorithm
- supervised machine learning
- learning tasks
- information extraction
- quantum computation
- database
- stochastic approximation
- machine learning and data mining
- neural network
- support vector machine
- feature selection
- data analysis
- data sets
- text classification
- channel capacity
- computer vision
- computer science
- computational biology
- optimization methods
- kernel methods
- statistical methods
- learning systems
- least squares
- semi supervised learning
- text mining