Berkeley Lab's Advanced Quantum Testbed team demonstrates a three-qubit native quantum gate with high fidelity
A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars.
Berkeley Lab error mitigation approach helps quantum computers level up
Berkeley Lab’s Advanced Quantum Testbed makes engineering quantum hardware more accessible with open source control system.
After 32 years at Berkeley Lab, computer visualization pioneer Wes Bethel is retiring, sort of. While Bethel will retain his ties and continue to contribute as a research affiliate, he intends to shift focus to teaching the next generation of computer scientists at San Francisco State University.
This month, Terry Ligocki will retire from Berkeley Lab after a 26-year career. His passion for math has inspired him for many years, in many ways.
As we face the threat of more frequent and more severe wildfires under climate change, Berkeley Lab researchers are building a managed data platform to help scientists better understand and predict wildland fire hazards, risks, and behaviors.
The Quantum Pixel Representation Framework created by Berkeley Lab scientists offers a more efficient way to apply quantum computing to large and complex scientific image analysis problems.
Researchers at Berkeley Lab demonstrated the first 3-qubit high-fidelity iToffoli native gate in a superconducting quantum information processor and in a single step. This demonstration adds a novel easy-to-implement native three-qubit logic gate for universal quantum computing.
A computer modeling study of the historic 2020 North Atlantic hurricane season found that human-induced climate change played a major role.
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation.
The Quantum Systems Accelerator is catalyzing national leadership in quantum information science to co-design the algorithms, quantum devices, and engineering solutions needed to deliver certified quantum advantage in Department of Energy scientific applications. Berkeley Lab leads the center. Sandia National Laboratories is the lead partner.
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is an integrated, cross-disciplinary center aimed at inventing, developing, and delivering the fundamental new mathematics required to capitalize on experimental investigations at scientific facilities.
