Sapsan: Framework for Supernovae Turbulence Modeling with Machine Learning. - Platon Karpov; Iskandar Sitdikov; Chengkun Huang; Chris Fryer (J. Open Source Softw., 2021)

Middleware for Quantum: An orchestration of hybrid quantum-classical systems. - Ismael Faro; Iskandar Sitdikov; David García Valiñas; Francisco Martín-Fernández; Christopher Codella; Jennifer R. Glick (QSW, 2023)

PurpleCaffeine: tracking of quantum programs and experiments. - Iskandar Sitdikov; Michaël Rollin; Ansah Mohammad Kuriyodath; Luis Eduardo Martínez Hérnandez (J. Open Source Softw., 2023)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Machine learning for practical quantum error mitigation. - Haoran Liao; Derek S. Wang; Iskandar Sitdikov; Ciro Salcedo; Alireza Seif; Zlatko Minev (Nat. Mac. Intell., 2024)

Quantum resources in resource management systems. - Iskandar Sitdikov; Mustafa Emre Sahin; Utz Bacher; Aleksander Wennersteen; Andrew Damin; Mark Birmingham; Philippa Rubin; Stefano Mensa; Matthieu Moreau; Aurelien Nober; Hitomi Takahashi; Munetaka Ohtani (CoRR, 2025)