HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers

Published in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024

HamilToniQ introduces a comprehensive, open-source toolkit for benchmarking Quantum Processing Units (QPUs). Key features include:

  • A staged workflow—circuit compilation, error mitigation, and performance analysis—tailored to diverse QPU types and topologies.
  • The H-Score, a unified metric that captures device fidelity and reliability to enable fair, transparent comparisons.
  • Validation across multiple IBM quantum devices, demonstrating robustness and practicality in real-world settings.

By standardizing benchmarking practices and focusing on the Quantum Approximate Optimization Algorithm (QAOA), HamilToniQ advances the precision and clarity of QPU performance evaluation.

Figure: HamilToniQ benchmarking pipeline and QPU topology fidelity comparison.

Recommended citation: Xu, Xiaotian; Chen, Kuan-Cheng; & Wille, Robert. (2024). "HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers." Proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering (QCE).
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