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.
The LSST camera integration and testing team inserted a raft of nine imaging sensors into the body of the ComCam. This miniature version of the LSST camera will be used for telescope commissioning. Check out photos of this and other...
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...
The Dark Energy Spectroscopic Instrument begins final testing, setting the stage for a 5-year survey that will analyze the light of 35 million galaxies.
Presented by Eric Charles. A single gamma ray carries millions of times the energy of a single photon of visible light. This means that gamma rays are produced only in the most convulsive environments in the universe – pulsars spinning...
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.
