Noisy intermediate-scale quantum (NISQ) algorithms.
Kishor BhartiAlba Cervera-LiertaThi Ha KyawTobias HaugSumner Alperin-LeaAbhinav AnandMatthias DegrooteHermanni HeimonenJakob S. KottmannTim MenkeWai-Keong MokSukin SimLeong-Chuan KwekAlán Aspuru-GuzikPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- computationally efficient
- optimization problems
- noisy data
- orders of magnitude
- machine learning algorithms
- theoretical analysis
- reinforcement learning
- times faster
- significant improvement
- data structure
- recently developed
- edge detection
- knn
- artificial neural networks
- combinatorial optimization
- optimal solution
- convergence rate