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...

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...

Monika Schleier-Smith and Kent Irwin explain how their projects in quantum information science could help us better understand black holes and dark matter.

Two projects will look for ways to link individual quantum devices into networks for quantum computing and ultrasensitive detectors.

SLAC and Stanford researchers secure support for two projects that share one goal: to reduce the side effects of radiation therapy by vastly shrinking...

A polymer-based electrolyte makes for batteries that keep working – and don’t catch fire – when heated to over 140 degrees F. 

If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.

Presented by Axel Levy.