Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator

Significance Variational quantum algorithms combine quantum resources with classical optimization methods, providing a promising approach to solve both quantum many-body and classical optimization problems. A crucial question is how variational algorithms perform as a function of qubit number. Here,... View More