Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson WangPiotr CzarnikAndrew ArrasmithM. CerezoLukasz CincioPatrick J. ColesPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- times faster
- data structure
- computational complexity
- computationally efficient
- recently developed
- information retrieval
- image processing
- objective function
- worst case
- benchmark datasets
- orders of magnitude
- quantum computation
- data sets
- error measure
- theoretical analysis
- optimization problems
- computational cost