Optimization Problems in Quantum Machine Learning

The variational algorithm is a paradigm for designing quantum procedures implementable on noisy intermediate-scale quantum (NISQ) machines. It is viewed as a promising candidate for demonstrating practical quantum advantage. In this dissertation, we look into the optimization aspect of the variation... View More