CCD-QAOA incorporates counterdiabatic terms into the QAOA ansatz and shows higher approximation ratios than standard XY-mixer, Grover-mixer, and penalty QAOA for portfolio problems with budget and risk constraints.
Barren plateaus in quantum neural network training landscapes.Nature communications, 9(1):1–6
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Constrained Counterdiabatic Quantum Approximate Optimization Algorithm for Portfolio Optimization
CCD-QAOA incorporates counterdiabatic terms into the QAOA ansatz and shows higher approximation ratios than standard XY-mixer, Grover-mixer, and penalty QAOA for portfolio problems with budget and risk constraints.