Implementing quantum dimensionality reduction for non-Markovian stochastic simulation.
Kang-Da WuChengran YangRen-Dong HeMile GuGuo-Yong XiangChuan-Feng LiGuang-Can GuoThomas J. ElliottPublished in: CoRR (2022)
Keyphrases
- stochastic simulation
- dimensionality reduction
- belief networks
- bayesian analysis
- simple examples
- high dimensional
- pattern recognition
- principal component analysis
- high dimensional data
- reinforcement learning
- high dimensionality
- ordinary differential equations
- feature extraction
- low dimensional
- situation calculus
- feature selection
- machine learning
- data points
- data sets
- image processing