HamQASBench
HamQASBench evaluates Quantum Architecture Search methods across 11 molecules organized in five structural tiers, using energy accuracy, per-qubit entanglement, and pairwise state fidelity to diagnose structural failures.
- Released
- 2026-07-06
- Readiness
- Paper only
- Primary field
- Science & Research
Why it matters
Existing QAS benchmarks miss structural failures like over-parameterization. This benchmark provides diagnostic metrics that reveal method-specific weaknesses, guiding algorithm development.
Motivation
Quantum Architecture Search (QAS) automates the design of parameterized quantum circuits for variational quantum algorithms, yet existing benchmarks organize instances by molecular identity or qubit count -- criteria agnostic to Hamiltonian structure -- and rely solely on energy accuracy, which cannot detect structural failures such as over-parameterization on near-product ground states.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.