Closing The Quantum Divide: Empowering Mexico's Quantum Future Via Science Gateways
Quantum computing is set to revolutionize research, but progress depends on more than just qubits and algorithms. Research software engineers and science gateway developers build the essential tools, workflows, and platforms that translate theoretical breakthroughs into practical discoveries. This presentation explores how science gateways ease access to quantum computing by providing user-friendly interfaces, scalable workflows, and community-driven resources. It will highlight real-world examples of how these platforms empower researchers across disciplines. Additionally, it will address the need for sustainable career paths and incentives for those developing these critical frameworks. By supporting this ecosystem, we can accelerate quantum advancements and ensure broader accessibility to quantum technologies. Sandra Gesing is the Executive Director of the US Research Software Engineer Association and a Senior Researcher at the San Diego Supercomputer Center. Her work focuses on science gateways, computational workflows, and distributed and parallel computing, with a strong emphasis on the sustainability, usability, and reproducibility of research software. She is an advocate for improving career paths and incentives for research software engineers beyond traditional academic rewards. Before joining US-RSE and SDSC, she was a Senior Research Scientist at the Discovery Partners Institute, University of Illinois System, and an Associate Research Professor at the University of Notre Dame. Prior to moving to the U.S., she held research positions at the University of Edinburgh and the University of Tübingen. She also has extensive industry experience as a project manager and system developer in both the U.S. and Germany. She holds a Master’s degree in Computer Science from FernUniversität Hagen and a Ph.D. in Computer Science from the University of Tübingen.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-20
- DOI
- https://doi.org/10.5281/zenodo.14902072
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00