Reinforcement learning architecture for automated quantum-adiabatic-algorithm design.
Jian LinZhong Yuan LaiXiaopeng LiPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- experimental evaluation
- learning algorithm
- high accuracy
- optimization algorithm
- hardware architecture
- significant improvement
- times faster
- similarity measure
- software architecture
- dynamic programming
- np hard
- hardware implementation
- k means
- search space
- fpga implementation
- optimal solution
- objective function
- clustering method
- vlsi architecture
- segmentation algorithm
- simulated annealing
- cost function
- computational complexity
- worst case
- probabilistic model
- ant colony optimization
- computational cost
- multi objective
- design methodology
- user interface
- preprocessing