Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials

Fuente: arXiv
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Main Authors: Loaiza, Ignacio, Kunitsa, Alexander, Fomichev, Stepan, Motlagh, Danial, Dhawan, Diksha, Jahangiri, Soran, Fuglsbjerg, Juliane Holst, Izmaylov, Artur F., Wiebe, Nathan, Abu-Lebdeh, Yaser, Arrazola, Juan Miguel, Delgado, Alain
Format: Preprint
Published: 2026
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author Loaiza, Ignacio
Kunitsa, Alexander
Fomichev, Stepan
Motlagh, Danial
Dhawan, Diksha
Jahangiri, Soran
Fuglsbjerg, Juliane Holst
Izmaylov, Artur F.
Wiebe, Nathan
Abu-Lebdeh, Yaser
Arrazola, Juan Miguel
Delgado, Alain
author_facet Loaiza, Ignacio
Kunitsa, Alexander
Fomichev, Stepan
Motlagh, Danial
Dhawan, Diksha
Jahangiri, Soran
Fuglsbjerg, Juliane Holst
Izmaylov, Artur F.
Wiebe, Nathan
Abu-Lebdeh, Yaser
Arrazola, Juan Miguel
Delgado, Alain
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_20270
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials
Loaiza, Ignacio
Kunitsa, Alexander
Fomichev, Stepan
Motlagh, Danial
Dhawan, Diksha
Jahangiri, Soran
Fuglsbjerg, Juliane Holst
Izmaylov, Artur F.
Wiebe, Nathan
Abu-Lebdeh, Yaser
Arrazola, Juan Miguel
Delgado, Alain
Quantum Physics
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.
title Quantum algorithm for simulating resonant inelastic X-ray scattering in battery materials
topic Quantum Physics
url https://arxiv.org/abs/2602.20270