Constantin Dalyac

Classically Approximating Variational Quantum Machine Learning with Random Fourier Features

Many applications of quantum computing in the near term rely on variational quantum circuits (VQCs). They have been showcased as a promising model for reaching a quantum advantage in machine learning with current noisy intermediate scale quantum computers (NISQ). It is often believed that the power…