2026
STOCHASTIC SHADOW DESCENT: TRAINING PARAMETRIZED QUANTUM CIRCUITS WITH SHADOWS OF GRADIENTS
ICASSP 2026oral
In this paper, we focus on the task of optimizing the parameters in Parametrized Quantum Circuits (PQCs). While popular algorithms, such as Simultaneous Perturbation Stochastic Approximation (SPSA), limit the number of circuit-execution to two per iteration, irrespective of the number of parameters…