Quantum Kernel Methods for Graph-Structured Data

Implemented a Quantum Evolving Kernel for graph classification applied to drug discovery, targeting neutral-atom qubit arrays. Winner of the Amazon Braket Challenge at QHack 2023.

Used CAFQA initialization to accelerate convergence of the kernel optimization. The project was featured on the AWS blog.