Benchmark Radar
AI BENCHMARK PROFILE

HamQASBench

Science & ResearchKnowledge & Reasoning

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

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