American Psychological Association 6th edition

Haidar, M., Rančić, M. J., Ayral, T., Maday, Y., & Piquemal, J. (2023). Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry. WIREs: Computational Molecular Science, 13(5), 1-26. https://doi.org/10.1002/wcms.1664

ISO-690 (author-date, English)

HAIDAR, Mohammad, RANČIĆ, Marko J., AYRAL, Thomas, MADAY, Yvon und PIQUEMAL, Jean‐Philip, 2023. Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry. WIREs: Computational Molecular Science. 1 September 2023. Vol. 13, no. 5, p. 1-26. DOI 10.1002/wcms.1664.

Modern Language Association 9th edition

Haidar, M., M. J. Rančić, T. Ayral, Y. Maday, und J. Piquemal. „Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine for Quantum Chemistry.“. WIREs: Computational Molecular Science, Bd. 13, Nr. 5, September 2023, S. 1-26, https://doi.org/10.1002/wcms.1664.

Mohr Siebeck - Recht (Deutsch - Österreich)

Haidar, Mohammad/Rančić, Marko J./Ayral, Thomas/Maday, Yvon/Piquemal, Jean‐Philip: Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry., WIREs: Computational Molecular Science 2023, 1-26.

Emerald - Harvard

Haidar, M., Rančić, M.J., Ayral, T., Maday, Y. und Piquemal, J. (2023), „Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry.“, WIREs: Computational Molecular Science, Vol. 13 No. 5, S. 1-26.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.