Year: 2024
Type: conference-paper
Abstract: 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.
Authors: Xiaotian Xu, Kuan-Cheng Chen, Robert Wille
Institutions: Imperial College London, Technical University of Munich
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406261735