American Psychological Association 6th edition

Sajjad, I., Alshanbari, H. M., Almazah, M. M. A., Louati, H., & Rauf, S. (2025). Adaptive Grover-driven optimization for quantum-inspired deep learning: A gradient-free training framework. AIMS Mathematics, 10(11), 1-25. https://doi.org/10.3934/math.20251168

ISO-690 (author-date, English)

SAJJAD, Irsa, ALSHANBARI, Huda M., ALMAZAH, Mohammed M. A., LOUATI, Hanen und RAUF, Sana, 2025. Adaptive Grover-driven optimization for quantum-inspired deep learning: A gradient-free training framework. AIMS Mathematics. 1 November 2025. Vol. 10, no. 11, p. 1-25. DOI 10.3934/math.20251168.

Modern Language Association 9th edition

Sajjad, I., H. M. Alshanbari, M. M. A. Almazah, H. Louati, und S. Rauf. „Adaptive Grover-Driven Optimization for Quantum-Inspired Deep Learning: A Gradient-Free Training Framework.“. AIMS Mathematics, Bd. 10, Nr. 11, November 2025, S. 1-25, https://doi.org/10.3934/math.20251168.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sajjad, Irsa/Alshanbari, Huda M./Almazah, Mohammed M. A./Louati, Hanen/Rauf, Sana: Adaptive Grover-driven optimization for quantum-inspired deep learning: A gradient-free training framework., AIMS Mathematics 2025, 1-25.

Emerald - Harvard

Sajjad, I., Alshanbari, H.M., Almazah, M.M.A., Louati, H. und Rauf, S. (2025), „Adaptive Grover-driven optimization for quantum-inspired deep learning: A gradient-free training framework.“, AIMS Mathematics, Vol. 10 No. 11, S. 1-25.

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