Compositional optimization of quantum circuits for quantum kernels of support vector machines

no code implementations • 25 Mar 2022 • Elham Torabian, Roman V. Krems

While quantum machine learning (ML) has been proposed to be one of the most promising applications of quantum computing, how to build quantum ML models that outperform classical ML remains a major open question.

Bayesian Optimization BIG-bench Machine Learning +3