A coordinate-descent optimizer that scans the full one-parameter cost curve on a grid outperforms COBYLA in variational quantum simulations of the Burgers and nonlinear Schrödinger equations.
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Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms
A coordinate-descent optimizer that scans the full one-parameter cost curve on a grid outperforms COBYLA in variational quantum simulations of the Burgers and nonlinear Schrödinger equations.