Optimizing quantum optimization algorithms via faster quantum gradient computation.
András GilyénSrinivasan ArunachalamNathan WiebePublished in: CoRR (2017)
Keyphrases
- optimization problems
- orders of magnitude
- learning algorithm
- significant improvement
- computational cost
- optimization algorithm
- stochastic search
- combinatorial optimization
- times faster
- machine learning algorithms
- quantum inspired
- efficient optimization
- quantum computing
- approximately optimal
- quantum mechanics
- stochastic gradient
- quantum computation
- discrete optimization
- global optimization
- theoretical analysis
- computationally efficient
- semi supervised
- association rules
- computational complexity