Neural Nets and Gravitational Lenses
Explore our frontier research

New technologies

Modern technology creates new opportunities for society: Just think about how artificial intelligence has changed our cars and cell phone apps. These technologies begin with basic science. And while some, such as quantum computers, may be years away from practical applications, they have the potential to offer solutions to some of the world’s biggest challenges. 

At SLAC, our unique workforce, expertise, facilities and partnerships allow us to stay at the forefront of many of these emerging science areas and develop the technologies that will shape our future.


Beams of light used to study quantum optics.

Quantum information science (QIS)

The coming quantum technology revolution will profoundly change our understanding of the world and the way we live. SLAC research, including quantum materials for unprecedented computing and ultrasensitive sensors for detecting dark matter, will expedite that transition and help build the quantum workforce of the future.

QIS news

Science initiative

QIS research at SLAC

Qubits, quantum sensors and quantum algorithms: Find out more about the fascinating QIS research at the lab.

Qubit discovery and design
DOE collaboration

Q-NEXT national quantum center

As key partners of Q-NEXT, SLAC and Stanford are establishing a quantum foundry that will develop quantum materials, devices and other essential building blocks of QIS infrastructure.

New Technologies
SLAC-Stanford partnership

Teaming up with Stanford

Through the Q-FARM multidisciplinary initiative, SLAC and Stanford accelerate the development of competitive QIS technology and address today’s most difficult research challenges.

Qfarm Vector
News feature

Q&A: What is QIS?

Two SLAC/Stanford researchers explain how QIS could help them study black holes and dark matter.

Abstract tech background made of printed circuit boards.

Machine learning

Machine learning, a form of artificial intelligence (A.I.), outperforms traditional computational methods in many areas, for instance by vastly speeding up the tedious handling of huge batches of complex data. At SLAC, researchers use it to advance the lab’s unique scientific facilities and research.

A.I. and machine learning

SLAC scientists apply machine learning to boost the performance of our state-of-the-art research facilities, study biomolecules and their roles in disease, reveal the properties of mysterious fundamental particles, discover materials with novel properties, and do much more.

Molecule created using Cryogenic Electron Microscopy.

Daniel Ratner, head of SLAC’s machine learning initiative, explains how bringing researchers from across the lab together to share experiences and ideas makes progress faster for everyone.

Physicist Daniel Ratner.
LSST camera focal plane

Big data

SLAC researchers are preparing for a new generation of scientific instruments and experiments that will generate enormous streams of data. They’re developing software that can run on future exascale supercomputers and the tools that will allow collecting and analyzing unprecedented data volumes in a very short time.

Large datasets news

SLAC-Stanford partnership

Computer science at SLAC

To address challenges associated with extremely large data volumes and rates, SLAC’s Computer Science Division works with Stanford and Silicon Valley partners on innovative computational solutions.

SLAC’s Computer Science division

When upgrades to the X-ray laser at the Department of Energy’s SLAC National Accelerator Laboratory are complete, the powerful new machine will capture up to 1 terabyte of data per second; that’s a data rate equivalent to streaming about one...

Infographic on LCLS-II data.

The Rubin Observatory's LSST Camera will take enormously detailed images of the night sky from atop a mountain in Chile. Down below the mountain, high-speed computers will send the data out into the world. What happens in between?

LSST data illustration
A compressor using terahertz radiation.

Technology innovation

SLAC leverages the unique expertise of our scientists, engineers and technicians to create new capabilities that pave the way for progress in astrophysics, biomedicine, national security and other disciplines. Our foundational and applied research advances the state of the art in detectors, particle accelerators and radio frequency (RF) technologies. This work is often done in collaboration with industry, academia and other laboratories to design, model and fabricate systems based on our innovations.

Technology innovation news

Explore some of the applications where our technology innovations make an impact.

New technologies

Two SLAC/Stanford projects share one goal: to reduce the side effects of radiation therapy by vastly shrinking the length of a typical session.

Researchers at SLAC and Stanford are developing new accelerator-based technology that aims to speed up cancer radiation therapy.

The ePix series of detectors is designed to keep pace with ever more demanding experiments at SLAC and elsewhere.

SLAC’s Chris Kenney holds a 16-module