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Efficient Simulation of Sparse, Non-Local Fermion Models

Reinis Irmejs, J. Ignacio Cirac
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Researchers Reinis Irmejs and J. Ignacio Cirac propose a breakthrough in simulating sparse fermionic systems on quantum computers, addressing a major bottleneck in near-term quantum advantage. Their method introduces auxiliary fermions to eliminate Jordan-Wigner strings, reducing the circuit depth overhead from multiplicative O(log N) to additive, achieving asymptotically optimal performance for long-time evolution. The approach matches the efficiency of ideal fermionic hardware up to constant factors, requiring only O(dN) ancillary qubits for N modes with d interactions each. While initial state preparation incurs overhead, the auxiliary state remains invariant during evolution, enabling sustained efficiency gains in Trotterized time simulations. This work demonstrates that qubit-based hardware can now efficiently simulate non-local fermionic models, a critical step for quantum chemistry and material science applications.
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Quantum Physics arXiv:2512.15843 (quant-ph) [Submitted on 17 Dec 2025] Title:Efficient Simulation of Sparse, Non-Local Fermion Models Authors:Reinis Irmejs, J.

Ignacio Cirac View a PDF of the paper titled Efficient Simulation of Sparse, Non-Local Fermion Models, by Reinis Irmejs and J.

Ignacio Cirac View PDF HTML (experimental) Abstract:Efficient simulation of interacting fermionic systems is a key application of near-term quantum computers, but is hindered by the overhead required to encode fermionic operators on qubit hardware. Here, we consider models with $N$ fermionic modes in which each participates in at most a constant number $d$ of interactions and study the circuit depth required to implement the Trotterized time evolution on qubit hardware with all-to-all connectivity. We introduce an encoding that augments each physical fermionic mode with a small number of auxiliary fermions, enabling the removal of Jordan--Wigner strings. Although the preparation of the auxiliary fermion state incurs an initial overhead, this state remains invariant under time evolution. As a result, long-time evolution can be implemented with asymptotically optimal circuit depth, reducing a previously multiplicative $O(\log N)$ overhead to an additive overhead. Our results thus establish that the simulation of sparse fermionic models on qubit hardware matches the performance achievable on ideal fermionic hardware up to constant factors and $O(dN)$ ancillary qubits. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.15843 [quant-ph] (or arXiv:2512.15843v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.15843 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Reinis Irmejs [view email] [v1] Wed, 17 Dec 2025 18:50:39 UTC (33 KB) Full-text links: Access Paper: View a PDF of the paper titled Efficient Simulation of Sparse, Non-Local Fermion Models, by Reinis Irmejs and J. Ignacio CiracView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-12 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?) Links to Code Toggle Papers with Code (What is Papers with Code?) 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?)

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