Efficient Gradient Estimation for Variational Quantum Algorithms using Guided Simultaneous Perturbation Stochastic Approximation

The Guided-SPSA algorithm meaningfully combines the parameter-shift rule and simultaneous perturbation stochastic approximation (SPSA) to provide a more efficient gradient estimation technique for training variational quantum algorithms (VQAs) compared to existing methods.