Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials
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Quantum Physics arXiv:2602.20270 (quant-ph) [Submitted on 23 Feb 2026] Title:Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials Authors:Ignacio Loaiza, Alexander Kunitsa, Stepan Fomichev, Danial Motlagh, Diksha Dhawan, Soran Jahangiri, Juliane Holst Fuglsbjerg, Artur Izmaylov, Nathan Wiebe, Yaser Abu-Lebdeh, Juan Miguel Arrazola, Alain Delgado View a PDF of the paper titled Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials, by Ignacio Loaiza and 11 other authors View PDF Abstract:Resonant inelastic X-ray scattering (RIXS) is the workhorse experimental technique for probing the structural degradation of higher-capacity cathode materials. However, the interpretation of experimental spectra is challenging due to the lack of accurate simulations. In this work, we propose a quantum algorithm for simulating the RIXS spectrum of molecular clusters hypothesized to form in Li-excess cathodes. The algorithm uses quantum phase estimation to sample the spectrum from a state encoding the scattering transition amplitudes of the cluster valence excitations. We prepare this state in the quantum computer using a block-encoding of the dipole operator and quantum signal processing to implement the Green's function propagator over intermediate core-excited states. To showcase the algorithm, we use a model cluster proposed in recent experimental works consisting of an oxygen dimer bonded to a manganese atom. Using the PennyLane software platform, we report resource estimation for simulating RIXS spectra for chemically motivated active spaces of increasing sizes. For a classically challenging active space with 20 orbitals, the algorithm requires $2.0 \times 10^{10}$ Toffoli gates and $414$ logical qubits. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.20270 [quant-ph] (or arXiv:2602.20270v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.20270 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Alain Delgado Gran [view email] [v1] Mon, 23 Feb 2026 19:01:02 UTC (2,324 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials, by Ignacio Loaiza and 11 other authorsView PDFTeX Source view license Current browse context: quant-ph new | recent | 2026-02 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?)