Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 43 min ago
PreprintCC BYChemRxiv

Perspective on the Feasibility of Near-Term Quantum Simulation for Industrially Relevant Catalyst Materials

4 affiliations
  1. 1Phasecraft, 77 Charlotte Street, London, England, UK, W1T 4PW
  2. 2Department of Chemistry, University College London, 20 Gordon St, London, UK, WC1H 0AJ
  3. 3School of Chemistry
  4. 4Cardiff University Park Place

Abstract

Quantum simulation has been proposed as a route to treating strongly correlated electronic structure problems relevant to catalysis, but most existing studies focus on faulttolerant algorithms beyond current hardware capabilities. Here we assess the feasibility of near-term quantum simulation for catalytic materials through industrially relevant use cases. We consider zeolite clusters from classical QM/MM simulations relevant to NH3-SCR, and construct electronic active-space and embedding-based models of the catalytic active site. Using variational quantum eigensolver (VQE) ansätze, we estimate qubit requirements and circuit depths to produce the ground-state for both full and reduced Hamiltonians. Direct simulation of the full system is intractable on near-term devices, but fragmentation and active-space approaches, combined with low-rank Local Unitary Cluster Jastrow ansatz constructions, substantially reduce resource requirements. These results indicate that, while full catalytic models remain out of reach, reduced representations of chemically relevant fragments begin to approach the capacity of near-term quantum hardware. This highlights the role of physically informed model reduction in applying quantum simulation to applied materials problems.

Related

  1. Operando XAS In a Proton Exchange Membrane Water Electrolyser Under Industrially Relevant Conditions
    Helen Engelhardt, Connor Sherwin, Luis Padilla +8
    ChemRxivPreprintCC BYFull textElectrochemistry & energyChemRxiv
  2. A Five-Decade Perspective on the Evolution of Gelatin and Collagen Technologies and Materials Used in Medical Devices.
    Aubrey Woodroof, Gail Naughton, Michelle Montgomery
    Gels (Basel, Switzerland)Peer-reviewedCC BYFull textMaterials & polymersEurope PMC
  3. Vanadate-based photocatalytic materials: A perspective on synthesis approaches and pollutants photocatalytic degradation
    M. El Ouardi, M. Arab, M. Saadi +2
    Nano Materials SciencePeer-reviewedCC BY-NC-ND23 citedMaterials & polymersHAL
  4. Recent Advances in Electrochemical and Simulation-Based Methods for Understanding Interfacial Charge Storage Mechanisms in Supercapacitor Materials: Analysis and Perspectives
    Freddy Escobar-Teran, Kleber Andrade
    NanomaterialsPeer-reviewedCC BY 4.0Materials & polymersCrossref
  5. Reinterpreting Simulation Results for New Materials Applications with a Large Language Model
    Jihan Kim
    ChemRxivPreprintCC BYFull textInorganic & organometallic chemistryChemRxiv
BibTeX
@misc{jones2026perspective,
  title = {{Perspective on the Feasibility of Near-Term Quantum Simulation for Industrially Relevant Catalyst Materials}},
  author = {G. Jones and E. Sheridan and A. Khedkar and J.A. Nasir and C.R.A. Catlow and Glenn Jones},
  howpublished = {ChemRxiv},
  year = {2026},
  month = oct,
  doi = {10.26434/chemrxiv.15011047/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011047/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Perspective on the Feasibility of Near-Term Quantum Simulation for Industrially Relevant Catalyst Materials
AU  - G. Jones
AU  - E. Sheridan
AU  - A. Khedkar
AU  - J.A. Nasir
AU  - C.R.A. Catlow
AU  - Glenn Jones
PY  - 2026
DA  - 2026/10/26
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011047/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011047/v1
AB  - Quantum simulation has been proposed as a route to treating strongly correlated electronic structure problems relevant to catalysis, but most existing studies focus on faulttolerant algorithms beyond current hardware capabilities. Here we assess the feasibility of near-term quantum simulation for catalytic materials through industrially relevant use cases. We consider zeolite clusters from classical QM/MM simulations relevant to NH3-SCR, and construct electronic active-space and embedding-based models of the catalytic active site. Using variational quantum eigensolver (VQE) ansätze, we estimate qubit requirements and circuit depths to produce the ground-state for both full and reduced Hamiltonians. Direct simulation of the full system is intractable on near-term devices, but fragmentation and active-space approaches, combined with low-rank Local Unitary Cluster Jastrow ansatz constructions, substantially reduce resource requirements. These results indicate that, while full catalytic models remain out of reach, reduced representations of chemically relevant fragments begin to approach the capacity of near-term quantum hardware. This highlights the role of physically informed model reduction in applying quantum simulation to applied materials problems.
ER  -