Gaussian process model kernels for noisy optimization in variational quantum algorithms

Luca Arceci, Viacheslav Kuzmin, Rick Van Bijnen

Variational Quantum Algorithms (VQAs) aim at solving classical or quantum optimization problems by optimizing parametrized trial states on a quantum device, based on the outcomes o…