Pr Press Articles, Journals and News
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.
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.
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.
A team of scientists led by Berkeley Lab has transformed diamonds’ natural atomic flaws into an ultrasensitive diamond anvil sensor that could open the door to a new generation of smart, designer materials, as well as the synthesis of new chemical compounds, atomically fine-tuned by pressure.
Berkeley Lab’s Chris Mungall and Nomi Harris explain how agreeing on precise definitions of each rare disease can lead to more accurate diagnoses and better treatments, and share new evidence showing this endeavor is more important than ever.
Katherine Yelick, the Associate Laboratory Director for Computing Sciences at Berkeley Lab and professor of electrical engineering and computer sciences at UC Berkeley, has been honored by HPCwire as their Editor’s Choice for Outstanding Leadership in high-performance computing.
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.
