HamQASBench: A Hamiltonian-Informed Diagnostic Benchmark for Evaluating Quantum Architecture Search
arXiv:2607.04845v1 Announce Type: cross Abstract: 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. We introduce HamQASBench, a Hamiltonian-informed diagnostic benchmark organizing 11 molecules into five structural tiers via fingerprints derived from the Paul
The increasing complexity and application of quantum computing necessitate more sophisticated evaluation tools to address limitations in current Quantum Architecture Search methodologies.
This benchmark promises to accelerate the development of robust and efficient quantum algorithms by providing a more diagnostic and structure-aware evaluation framework.
The criteria and methodologies for assessing the performance and Identifying potential failures in quantum architecture search will evolve, leading to better circuit designs.
- · Quantum computing researchers
- · Quantum hardware developers
- · Variational quantum algorithm developers
- · Developers relying on simplistic benchmark metrics
Improved design and efficiency of parameterized quantum circuits for various applications.
Faster progress in practical quantum computing applications due to more reliable algorithm development.
Enhanced overall trust and investment in quantum computing as its developmental hurdles are systematically addressed.
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Read at arXiv cs.AI