Investigating quantum approximate optimization algorithms under bang-bang protocols
Daniel Liang, Li Li, Stefan Leichenauer · Physical Review Research · 2020
The authors use a stochastic optimization strategy for a variant of the Quantum Approximation Optimization Algorithm with fixed total time to examine both the relation of the parameter $p$ in the performance of the algorithm, as well as its relationship with Adiabatic Quantum Computation