Staff information

PNNL Publications

2025

• Furches J.C., S. Chehade, K.E. Hamilton, N.O. Wiebe, and C.M. Ortiz Marrero. 2025. "Application-level Benchmarking of Quantum Computers using Nonlocal Game Strategies." Quantum Science and Technology 10, no. 4:Art. No. 045002. PNNL-SA-208588. doi:10.1088/2058-9565/adf1c0

2024

• Sherbert K., J.C. Furches, K. Shirali, S. Economou, and C.M. Ortiz Marrero. 2024. "Adaptive Quantum Generative Training using an Unbounded Loss Function." In IEEE International Conference on Quantum Computing and Engineering (QCE 2024), September 15-20. 2024, Montreal, Canada, 1731-1738. Piscataway, New Jersey:IEEE. PNNL-SA-198421. doi:10.1109/QCE60285.2024.00202

2023

• Luzi L., C.M. Ortiz Marrero, N.N. Wynar, R.G. Baraniuk, and M.J. Henry. 2023. "Evaluating generative networks using Gaussian mixtures of image features." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), January 2-7, 2023, Waikoloa, HI, 279-288. Piscataway, New Jersey:IEEE. PNNL-SA-167150. doi:10.1109/WACV56688.2023.00036
• Ortiz Marrero C.M., N. Wiebe, J.C. Furches, and M.J. Ragone. 2023. Quantum Neural Networks: Issues, Training, and Applications. PNNL-35363. Richland, WA: Pacific Northwest National Laboratory. Quantum Neural Networks: Issues, Training, and Applications

2022

• Nowak K.E., C.M. Ortiz Marrero, and S.J. Young. 2022. "On the Structure of Isometrically Embeddable Metric Spaces." Electronic Journal of Linear Algebra 38. PNNL-SA-126943. doi:10.13001/ela.2022.6891
• Rubio-Herrero J., C.M. Ortiz Marrero, and L. Fan. 2022. "Modeling Atmospheric Data and Identifying Dynamics Temporal Data-Driven Modeling of Air Pollutants." Journal of Cleaner Production 333. PNNL-SA-157007. doi:10.1016/j.jclepro.2021.129863

2021

• Ortiz Marrero C.M., N.O. Wiebe, and M. Kieferova. 2021. "Entanglement-Induced Barren Plateaus." PRX Quantum 2, no. 4:Art. No. 040316. PNNL-SA-157287. doi:10.1103/PRXQuantum.2.040316

2020

• Aksoy S.G., C.A. Joslyn, C.M. Ortiz Marrero, B.L. Praggastis, and E. Purvine. 2020. "Hypernetwork Science via High-Order Hypergraph Walks." EPJ Data Science 9, no. 1:Article No. 16. PNNL-SA-144766. doi:10.1140/epjds/s13688-020-00231-0
• Bilbrey J.A., C.M. Ortiz Marrero, M. Sassi, A.M. Ritzmann, N.J. Henson, and M. Schram. 2020. "Tracking the chemical evolution of iodine species using recurrent neural networks." ACS Omega 5, no. 9:4588-4594. PNNL-SA-148824. doi:10.1021/acsomega.9b04104
• Jefferson B.A., and C.M. Ortiz Marrero. 2020. "Robust Assessment of Real-World Adversarial Examples." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2020), June 14-19, 2020, Seattle, WA, 3442-3449. Piscataway, New Jersey:IEEE. PNNL-SA-152091. doi:10.1109/CVPRW50498.2020.00404
• Luzi F., M.D. Fenn, J.F. Christ, Z.C. Kennedy, T. Varga, M.S. Hughes, and C.M. Ortiz Marrero. 2020. "Application of entropy and signal energy for ultrasound-based classification of three-dimensional printed polyetherketoneketone components." Journal of the Acoustical Society of America 148, no. 1:292-301. PNNL-SA-151479. doi:10.1121/10.0001581
• Tartakovsky A.M., C.M. Ortiz Marrero, P. Perdikaris, G.D. Tartakovsky, and D.A. Barajas-Solano. 2020. "Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems." Water Resources Research 56, no. 5:Article No. e2019WR026731. PNNL-SA-137164. doi:10.1029/2019WR026731

2018

• Bruillard P.J., and C.M. Ortiz Marrero. 2018. "Classification of Rank 5 Premodular Categories." Journal of Mathematical Physics 59, no. 1:011702. PNNL-SA-120942. doi:10.1063/1.5020256