Conveners
Scale Matters - Eventually: 4A
- Anca Hienola (Finnish Meteorological Institute)
Envision a future where scientific progress accelerates at an unprecedented rate, condensing the time required for new discoveries from years to days or even hours. Artificial intelligence has already shown promise in expediting breakthroughs in fields like astronomy, genomics, and materials science, but these advancements have been isolated, driven by separate research groups working...
This presentation reports on two years of progress in InterQnet, a U.S. Department of Energy project advancing scalable, heterogeneous quantum networks through a full-stack co-design approach. We share quantitative insights from large-scale simulations, error-correction-aware architecture studies, and integration with experimental testbeds such as ArQNet. The talk highlights lessons learned in...
Storage needs for research data are growing at an unprecedented pace. While datasets increase in volume, complexity, and retention requirements, the institutions are also expected to comply with security standards while collaborating in an international space. The storage solutions are often self-hosted and built using open-source storage components. Building these services from scratch, while...
