The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians
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Quantum Physics arXiv:2605.11162 (quant-ph) [Submitted on 11 May 2026] Title:The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians Authors:Brendan K. Krueger, Stephan Eidenbenz, Shamminuj Aktar, Rishabh Bhardwaj, John K. Golden, George Grattan, Abhijith Jayakumar, Anna Matsekh, Scott Pakin, Nandakishore Santhi, Reuben Tate View a PDF of the paper titled The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians, by Brendan K. Krueger and Stephan Eidenbenz and Shamminuj Aktar and Rishabh Bhardwaj and John K. Golden and George Grattan and Abhijith Jayakumar and Anna Matsekh and Scott Pakin and Nandakishore Santhi and Reuben Tate View PDF HTML (experimental) Abstract:We present the Quantum Hamiltonian Analysis Toolkit (QHAT), a newly developed application that provides a user-friendly interface for studying Hamiltonians and performing Hamiltonian simulation on fault-tolerant quantum computers. QHAT enables the generation and analysis of Hamiltonians through a powerful and feature-rich application, driven by simple inputs designed to reflect user needs rather than algorithmic details, so that productive research on your application of interest can be done without needing a deep understanding of quantum computing algorithms. QHAT enables a streamlined workflow to analyze Hamiltonians and Hamiltonian simulation, supporting multiple choices of algorithms and analyses. It supports Hamiltonians from multiple sources but can also generate Hamiltonians based on a simple description of the system, saving intermediate data files for re-use when generating related Hamiltonians. Deriving the parameters for quantum computing algorithms can be a challenge, so QHAT is built around user-facing concepts such as maximum allowable error, rather than being built around algorithmic details such as steps counts or order parameters. An emphasis on user-friendly interfaces and efficient analysis means that the barrier to entry is low while rapidly providing results useful for a broad scope of studies. Comments: Subjects: Quantum Physics (quant-ph); Computational Physics (physics.comp-ph) Report number: LA-UR-26-23262 Cite as: arXiv:2605.11162 [quant-ph] (or arXiv:2605.11162v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.11162 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Brendan Krueger [view email] [v1] Mon, 11 May 2026 19:10:07 UTC (439 KB) Full-text links: Access Paper: View a PDF of the paper titled The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians, by Brendan K. Krueger and Stephan Eidenbenz and Shamminuj Aktar and Rishabh Bhardwaj and John K. Golden and George Grattan and Abhijith Jayakumar and Anna Matsekh and Scott Pakin and Nandakishore Santhi and Reuben TateView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 Change to browse by: physics physics.comp-ph References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)