Presented by Aaron Lindenberg. As we reach the limits of high-speed computation based on silicon, ideas for the next generation of computers have focused on electrically switchable nanoscale devices that operate in ways similar to the neurons and synapses of...
Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.
Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.
The newly launched Quantum Fundamentals, ARchitecture and Machines initiative will build upon existing strengths in theoretical and experimental quantum science and engineering at Stanford and SLAC.
Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.
Particle accelerators are used every day in a wide range of scientific, medical and industrial applications. But did you know that the task of operating these machines is far from mundane? For example, for every experiment at SLAC’s X-ray laser...
SLAC and Stanford researchers secure support for two projects that share one goal: to reduce the side effects of radiation therapy by vastly shrinking the length of a typical session.
If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.
Specialist for strategic and technical engagement for scientific computing systems
Areas of research: S3DF (SLAC Shared Science Data Facility); evaluating technologies for massive scale analytics; forming partnerships with technology providers; developing and recruiting computing skills and competencies; supporting science users’ requirements and operational issues; creating business models and technology roadmaps...
