@inproceedings{3c082c2ff54540249fc5c7f15612f452,
title = "HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers",
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.",
keywords = "Benchmarking Program, Characterization, Optimization, Quantum Approximate Optimization Algorithm, Quantum Computing, Quantum Error Correction",
author = "Xiaotian Xu and Chen, {Kuan Cheng} and Robert Wille",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 ; Conference date: 15-09-2024 Through 20-09-2024",
year = "2024",
doi = "10.1109/QCE60285.2024.10384",
language = "English",
series = "Proceedings - IEEE Quantum Week 2024, QCE 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "518--519",
editor = "Candace Culhane and Byrd, {Greg T.} and Hausi Muller and Yuri Alexeev and Yuri Alexeev and Sarah Sheldon",
booktitle = "Workshops Program, Posters Program, Panels Program and Tutorials Program",
}