HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers

This paper introduces HamilToniQ, an open-source benchmarking toolkit for Quantum Processing Units (QPUs). It addresses the complexities of quantum computations by providing a methodological framework to assess QPU types, topologies, and systems. HamilToniQ facilitates performance evaluations through steps like circuit compilation and quantum error mitigation, with strategies tailored for each stage. The toolkit's H-Score measures QPU fidelity and reliability, offering a comprehensive view of performance. Focused on the Quantum Approximate Optimization Algorithm (QAOA), HamilToniQ enables consistent QPU comparisons, enhancing benchmarking transparency. Validated on various IBM QPUs, the toolkit proves effective and robust, advancing quantum computing with precise benchmarking metrics.