Optimizing quantum optimization algorithms via faster quantum gradient computation.
András GilyénSrinivasan ArunachalamNathan WiebePublished in: SODA (2019)
Keyphrases
- optimization problems
- learning algorithm
- objective function
- approximately optimal
- quantum inspired
- quantum computing
- optimization method
- optimization procedure
- discrete optimization
- neural network
- computational cost
- combinatorial optimization
- efficient optimization
- optimization approaches
- computationally demanding
- quantum computation
- linear algebra
- evolution strategy
- global optimization
- computational efficiency
- computationally efficient
- linear programming
- significant improvement