Reinforcement learning for optimization of variational quantum circuit architectures.
Mateusz OstaszewskiLea M. TrenkwalderWojciech MasarczykEleanor ScerriVedran DunjkoPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- logic circuits
- markov decision processes
- learning algorithm
- high speed
- global optimization
- state space
- function approximation
- image segmentation
- optimization algorithm
- optimization problems
- temporal difference
- quantum inspired
- logic synthesis
- digital circuits
- model free
- optimization process
- step size
- combinatorial optimization
- optimization method
- particle swarm optimization
- denoising
- least squares