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This is a Quantitative Study study.

October 18, 2025Open Access

Implementing the Quantum Approximate Optimization Algorithms for QUBO problems Across Quantum Hardware Platforms: Performance Analysis, Challenges, and Strategies

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ADAPT-QAOA significantly improves results on hard QUBO problems, enhancing effectiveness over standard QAOA.
Comparison shows standard QAOA is efficient for simpler problems, indicating different use cases for both algorithms.
Performance and feasibility analyses relying on real-device calibration highlight important differences between quantum hardware platforms.
Findings present a comprehensive view of challenges, trade-offs, and strategies for optimizing QAOA implementations in quantum computing.

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Performance evaluation of QAOA reveals advantages of ADAPT-QAOA for complex QUBO problems, suggesting effective strategies.

Pihkakoski et al. (2025) studied this question.

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