Profile picture for Santiago Nunez-Corrales

Contact Information

School of Information Sciences
501 E. Daniel St.
MC-493
Champaign, IL
61820-6211
Adjunct Professor

Additional Campus Affiliations

Senior Research Scientist, National Center for Supercomputing Applications (NCSA)

Recent Publications

Aguilar-Calvo, W., & Nunez-Corrales, S. (2025). Benchmarking Adaptive Genetic Pulse-Level Optimization on Standard Quantum Algorithms. In C. Culhane, G. Byrd, H. Muller, A. Delgado, & S. Eidenbenz (Eds.), Keynotes, Workshops, Posters, Panels, and Tutorials Program (pp. 260-263). (Proceedings - IEEE Quantum Week 2025, QCE 2025; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QCE65121.2025.10330

Giusto, E., Núñez-Corrales, S., Smith, K. N., Cao, P., Younis, E., Rech, P., Vella, F., Baheri, B., Cilardo, A., Montrucchio, B., Jiang, W., Xu, S., Dasgupta, S., Iyer, R. K., & Humble, T. S. (2025). Dependable classical-quantum computing systems engineering. Frontiers in Computer Science, 7, Article 1520903. https://doi.org/10.3389/fcomp.2025.1520903

Nunez-Corrales, S., Di Matteo, O., Dumbell, J., Edwards, M., Giusto, E., Pakin, S., & Stirbu, V. (2025). Productive Quantum Programming Needs Better Abstract Machines. In C. Culhane, G. Byrd, H. Muller, A. Delgado, & S. Eidenbenz (Eds.), Technical Papers Program (pp. 816-826). (Proceedings - IEEE Quantum Week 2025, QCE 2025; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QCE65121.2025.00094

Di Matteo, O., Nunez-Corrales, S., Stechly, M., Reinhardt, S. P., & Mattson, T. (2024). An Abstraction Hierarchy Toward Productive Quantum Programming. In C. Culhane, G. T. Byrd, H. Muller, Y. Alexeev, Y. Alexeev, & S. Sheldon (Eds.), Technical Papers Program (pp. 979-989). (Proceedings - IEEE Quantum Week 2024, QCE 2024; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QCE60285.2024.00117

Núñez-Corrales, S., & Brenes-André, J. (2023). BALISTICA: A software suite for ballistic motion with applications to geophysics research and education. Software Impacts, 16, Article 100488. https://doi.org/10.1016/j.simpa.2023.100488

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