Multilevel Leapfrogging Initialization Strategy for Quantum Approximate Optimization Algorithm
Xiao‐Hui Ni,
Bin‐Bin Cai,
Hai‐Ling Liu
et al.
Abstract:Recently, Zhou et al. have proposed an Interpolation‐based (INTERP) strategy to generate the initial parameters for Quantum Approximate Optimization Algorithm (QAOA). INTERP guesses the initial parameters at level by applying interpolation to the optimized parameters at level , achieving better performance than random initialization (RI). Nevertheless, INTERP consumes extensive costs for deep QAOA because it necessitates optimization at each level depth. To address it, a Multilevel Leapfrogging Interpolation … Show more
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