Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials
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 Toffoli gates and logical qubits.
Cite
@article{arxiv.2602.20270,
title = {Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials},
author = {Ignacio Loaiza and Alexander Kunitsa and Stepan Fomichev and Danial Motlagh and Diksha Dhawan and Soran Jahangiri and Juliane Holst Fuglsbjerg and Artur F. Izmaylov and Nathan Wiebe and Yaser Abu-Lebdeh and Juan Miguel Arrazola and Alain Delgado},
journal= {arXiv preprint arXiv:2602.20270},
year = {2026}
}
Comments
18 pages, 12 figures, 2 tables