Innovations include a better lithium battery, secure quantum communications, and a tool for buildings to save energy.
The Berkeley Lab-led center will forge the technological solutions needed to harness quantum information science for discoveries that benefit the world. It will also energize the nation’s research community to ensure U.S. leadership in quantum R&D and accelerate the transfer of technologies from the lab to the marketplace.
There wasn’t as much buzz about the particle physics applications of quantum computing when Amitabh Yadav began working on his master’s thesis in the field at Delft University of Technology in the Netherlands a couple of years ago, he recalled.
If you study the detector readout shortly after a particle collision at CERN’s Large Hadron Collider (LHC), “It looks like somebody fired a shotgun at a target,” said Eric Rohm, a physics researcher from the University of South Carolina who spent August 2019 to December 2019 working on a quantum-computing project at Berkeley Lab. With the planned upgrade of the LHC, this seemingly scattershot picture will only become more complicated.
Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.
A nationwide alliance of national labs, universities, and industry launched Dec. 20 to advance the frontiers of quantum computing systems designed to solve urgent scientific challenges and maintain U.S. leadership in next-generation information technology.
The event, held simultaneously at ten of the DOE’s National Laboratories, will challenge 105 college teams to defend a simulated energy infrastructure from cyber-attacks. The CyberForce Competition is designed to inspire and develop the next generation of energy sector cybersecurity professionals.
A team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of light beams’ size for science experiments at a synchrotron light source via adjustments that largely cancel out unwanted fluctuations.
Many of the systems that provide services or products we use daily, such as the electrical grid, oil and gas pipelines, vehicles, and manufacturing plants, are examples of cyberphysical systems – systems that integrate computing and networking with one or more physical components. Computer security specialist Sean Peisert and a team of researchers at Berkeley Lab are helping ensure that these systems stay secure from cyberattacks.
Berkeley Lab’s ESnet is one of five organizations leading an effort to create a nationwide research infrastructure that will enable the computer science and networking community to develop and test novel architectures that could yield a faster, more secure Internet.