Quantum Bayesian Optimization.
Zhongxiang DaiGregory Kang Ruey LauArun VermaYao ShuBryan Kian Hsiang LowPatrick JailletPublished in: CoRR (2023)
Keyphrases
- optimization algorithm
- optimization methods
- optimization problems
- efficient optimization
- maximum likelihood
- optimization method
- bayesian learning
- optimization process
- quantum computing
- databases
- optimization strategies
- bayesian networks
- global optimization
- constrained optimization
- gaussian processes
- discrete optimization
- monte carlo sampling
- bayesian decision
- optimization model
- parameter estimation
- data driven
- search algorithm
- case study
- decision making