
The Ecosystem for Research Networking (ERN) Summit welcomes the scientific and cyberinfrastructure research community to gather together with industry, domain researchers, cyberinfrastructure professionals, and federal government agency representatives to share information, insights and experiences regarding the impacts that advanced technologies, Quantum and AI, and workforce development are having on scientific advancement.
As quantum computing matures, its success will depend on seamless integration with classical high-performance computing, AI, and advanced research networks. This keynote explores the shift toward heterogeneous quantum–classical systems and the critical role of horizontal integration in enabling scale, usability, and impact.
Using the Quantum Scaling Alliance as a case study, the talk highlights how cross-sector collaboration, spanning academia, big tech, and quantum startups, can accelerate progress in research and workforce development while reducing fragmentation.
Wednesday, April 22 - 12:00 PM - 5:00 PM ET
12:00 - 12:15 Welcome and Opening Remarks
Barr von Oehsen, Ph.D., Director Pittsburgh Supercomputing Center
12:15 - 1:15 Keynote “Heterogeneous Quantum–Classical Computing: Scaling Through Integration”
Masoud Mohseni, Ph.D., Senior Distinguished Technologist, Director of HPE Quantum, Hewlett Packard Labs
1:15 - 2:15 Panel 1: Building Sustainable Advanced Technologies: Industry and Academic Collaborations
Explore how industry, universities, national labs, and startups are partnering to accelerate AI and quantum innovation while building experiential workforce pathways.
2:15 -3:15 Panel 2: Democratizing Access: National Resources and Regional Initiatives
The panel examines national platforms and regional ecosystems that are expanding equitable access to the advanced infrastructure required by advanced technologies. Panelists will discuss federated models, hybrid workflows, and collaborative frameworks that enable broader participation in research and education
3:15 - 4:15 Panel 3: Research Data Management in the AI Era
The panel will discuss how governance, metadata standards, compliance, and secure data stewardship underpin reproducible advanced research and drive demand for new data management competencies.
4:15 - 4:45 Open Discussion and Collaboration
4:45 - 5:00 Closing Remarks
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The ERN Steering Committee