Publications

Publications in 2026 have been published on a diverse range of topics in scientific domains. Alexander Wang, Saurabh Roy, Maksym Maskey and Raj Ramachandran authored a paper discussing the exact LCU sampling overhead of collective diagonal unitaries, focusing on resonances and a continued-fraction dichotomy. Meanwhile, Daisuke Heras along with various coauthors published a comprehensive survey on high-performance and efficient computing for Earth observation in the Proceedings of the IEEE.

Zhang Wang and Saurabh Roy also collaborated on a study about structured quantum kernels for chaotic forecasting, which was presented as an arXiv preprint. Other noteworthy publications include a multimodal-multiresolution foundation model for lunar remote sensing, a benchmark dataset for advancing machine learning in lunar science, a scientific code search dataset and benchmark, and a novel dataset for weather and climate downstream tasks.

Raj Ramachandran, Kedar Shinde, Ashish Patil, and others proposed a vision for NASA science, aiming at accelerated knowledge discovery through a foundation model for the Martian atmosphere. Lastly, Shinde, Ankur, C. E. Phillips, and others released WxC-Bench, a dataset for downstream weather and climate tasks, while SuryaBench was introduced for advancing machine learning in heliophysics and space weather prediction.