ffsim: Faster simulation of fermionic quantum circuits

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Quantum Physics arXiv:2605.03123 (quant-ph) [Submitted on 4 May 2026] Title:ffsim: Faster simulation of fermionic quantum circuits Authors:Kevin J. Sung, Inho Choi, Mirko Amico, Bartholomew Andrews, Esra Ayantuna, Yukio Kawashima, Wan-Hsuan Lin, David Omanovic, Samuele Piccinelli, Javier Robledo Moreno, Abdullah Ash Saki, James Shee, Soyoung Shin, Minh C. Tran, Kento Ueda, Haimeng Zhang, Mario Motta View a PDF of the paper titled ffsim: Faster simulation of fermionic quantum circuits, by Kevin J. Sung and 16 other authors View PDF HTML (experimental) Abstract:We present ffsim, an open-source software library for fast simulation of fermionic quantum circuits. ffsim exploits conservation of particle number and the z component of spin, symmetries present in a wide range of fermionic systems, to dramatically reduce memory usage and simulation time compared to general-purpose quantum circuit simulators. Compared to FQE, a library with similar functionality, ffsim differs in software design and is faster on a representative set of simulation benchmarks. Beyond state vector evolution by basic fermionic gates, ffsim offers a number of additional features including variational ansatzes, Hamiltonian time evolution via Trotter-Suzuki product formulas, efficient sampling of Slater determinants, seamless integration with Qiskit and PySCF, and comprehensive documentation. We demonstrate ffsim's capabilities on scientific applications involving quantum circuits of up to 64 qubits. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.03123 [quant-ph] (or arXiv:2605.03123v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.03123 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Kevin J. Sung [view email] [v1] Mon, 4 May 2026 20:04:32 UTC (320 KB) Full-text links: Access Paper: View a PDF of the paper titled ffsim: Faster simulation of fermionic quantum circuits, by Kevin J. Sung and 16 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 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?)
