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.
An international team of scientists that includes Berkeley Lab researchers has announced a breakthrough in its quest to measure the mass of the neutrino, one of the most abundant yet elusive elementary particles in our universe.
A new study led by a physicist at Berkeley Lab details how a quantum computing technique called “quantum annealing” can be used to solve problems relevant to fundamental questions in nuclear physics about the subatomic building blocks of all matter. It could also help answer other vexing questions in science and industry, too.
The overpumping of groundwater in California has led to near environmental catastrophe in some areas – land is sinking, seawater is intruding, and groundwater storage capacity has shrunk. But researchers at Lawrence Berkeley National Laboratory believe machine learning could be part of the solution to restoring groundwater to sustainable levels and quality.
Using cutting-edge theoretical calculations performed at NERSC, researchers at Berkeley Lab’s Molecular Foundry have predicted fascinating new properties of lithium – a light alkali metal that has intrigued scientists for two decades with its remarkable diversity of physical states at high pressures. “Under standard conditions, lithium is a simple metal that forms a textbook crystalline solid. However, scientists