Papers › Common workflows for computing material properties using different quantum engines

Common workflows for computing material properties using different quantum engines

11 May 2021arXiv:2105.05063links table onlyarchive 2025-07-28

Sebastiaan P. Huber, Emanuele Bosoni, Marnik Bercx, Jens Bröder, Augustin Degomme, Vladimir Dikan, Kristjan Eimre, Espen Flage-Larsen, Alberto Garcia, Luigi Genovese, Dominik Gresch, Conrad Johnston, Guido Petretto, Samuel Poncé, Gian-Marco Rignanese, Christopher J. Sewell, Berend Smit, Vasily Tseplyaev, Martin Uhrin, Daniel Wortmann, Aliaksandr V. Yakutovich, Austin Zadoks, Pezhman Zarabadi-Poor, Bonan Zhu, Nicola Marzari, Giovanni Pizzi

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The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods aiming to solve similar problems is both a boon and a burden. While providing great opportunities for cross-verification, these packages adopt different methods, algorithms, and paradigms, making it challenging to choose, master, and efficiently use any one for a given task. Leveraging recent advances in managing reproducible scientific workflows, we demonstrate how developing common interfaces for workflows that automatically compute material properties can tackle the challenge mentioned above, greatly simplifying interoperability and cross-verification. We introduce design rules for reproducible and reusable code-agnostic workflow interfaces to compute well-defined material properties, which we implement for eleven different quantum engines and use to compute three different material properties. Each implementation encodes carefully selected simulation parameters and workflow logic, making the implementer's expertise of the quantum engine directly available to non-experts. Full provenance and reproducibility of the workflows is guaranteed through the use of the AiiDA infrastructure. All workflows are made available as open-source and come pre-installed with the Quantum Mobile virtual machine, making their use straightforward.

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get_code_from_list_or_database aiidateam/aiida-common-workflows/src/aiida_common_workflows/cli/utils.py official repository unverified MIT (permissive) · 102411e1dc5bdcca · report
get_entry_point_name_from_class aiidateam/aiida-common-workflows/src/aiida_common_workflows/plugins/entry_point.py official repository unverified MIT (permissive) · d4ddf3e9368cb550 · report
load_workflow_entry_point aiidateam/aiida-common-workflows/src/aiida_common_workflows/plugins/entry_point.py official repository unverified MIT (permissive) · 313e8af4fb2fcda5 · report

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