Classical feedback-based optimization matches or exceeds quantum performance in speed and scalability while quantum retains an edge in final solution quality on tested instances.
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DC-QAOA with CD-mixer ansatz outperforms QAOA for 1d bin packing, showing robustness and high accuracy on a 10-item instance executed on IBM quantum hardware.
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Feedback-based quantum optimization and its classical counterpart: quantum advantage and the power of classical algorithms
Classical feedback-based optimization matches or exceeds quantum performance in speed and scalability while quantum retains an edge in final solution quality on tested instances.
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Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem
DC-QAOA with CD-mixer ansatz outperforms QAOA for 1d bin packing, showing robustness and high accuracy on a 10-item instance executed on IBM quantum hardware.