Reinforcement learning for optimization of variational quantum circuit architectures.
Mateusz OstaszewskiLea M. TrenkwalderWojciech MasarczykEleanor ScerriVedran DunjkoPublished in: NeurIPS (2021)
Keyphrases
- reinforcement learning
- optimization problems
- optimization algorithm
- global optimization
- logic circuits
- image segmentation
- optimization method
- learning algorithm
- multi agent
- state space
- markov decision processes
- machine learning
- high speed
- learning process
- optimal policy
- optical flow
- learning problems
- optimization methods
- constrained optimization
- neural network
- electronic circuits
- quantum computing
- quantum inspired