Index Advisors on Quantum Platforms
Summary: Hybrid quantum-classical index advisor: (1) model index selection as a QUBO solved by QAOA to produce higher-quality approximate configurations with O(log L) computations; (2) model exhaustive search solved by Grover using a novel phase-encoded oracle in standard gates achieving O(√L) queries. Qiskit-based simulation and hardware proofs show 1.5–2× quality gains over commercial greedy advisors, approach optimality, and have quantum resource requirements that scale linearly with problem size. (summarized by gpt-5-mini on Feb 09 2026)
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