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2026 Alvarez Fellow Samson Wang Bridges Quantum Theory and Practice

Samson Wang smiling warmly at the camera while standing outdoors in front of a backdrop of dense green leaves. They have short dark hair with bangs and are wearing round wire-rimmed glasses and an olive green button-down shirt.

Berkeley Lab AI Learns Classic Physics to Scale Quantum Simulations

A multi-part technical diagram showing the architecture and function of the Sigma-Attention AI model. The left side shows a vertical flowchart titled "Encoder-only Transformer" with interconnected boxes labeled with AI processes like Multi-Head Attention and Feed Forward, leading to a final output labeled with a Sigma symbol. The top middle shows a chart titled "Dataset regime" that plots interaction strength against system size, shading three areas labeled MBPT for weak coupling, ED for intermediate coupling, and SCE for strong coupling. The top right features a line graph titled "Green's function prediction" displaying multiple U-shaped curves. Along the bottom, text reading "Generalizable self-energy learning across regime" sits next to a small, simple dot-and-line grid labeled "Small system." An arrow containing the AI model's Sigma symbol points from this small grid to a significantly larger grid labeled "Large system."

Excited-States Framework Could Illuminate New Optical Materials

New Hybrid Approach Bypasses Hardware Limits to Unlock Complex Quantum Simulations

A schematic diagram divided into two main sections illustrating a computational workflow, with Quantum measurements on the left and Classical postprocessing on the right. The left section displays a series of quantum circuit diagrams at increasing time steps, featuring green blocks labeled Hamiltonian simulation and blue blocks labeled Shallow shadows, which output histograms and color-coded data vectors. The right section shows the flow of classical data processing, starting at the top with multi-layered, colorful grids representing data matrices being used to compute a central system matrix. An arrow points down from this matrix to a diagram labeled Spectral decomposition, which shows data points plotted around the perimeter of a circle to represent eigenvalues. A final arrow points left to a line graph labeled Energy error, illustrating the error rates for both an excited state and a ground state steadily decreasing as the number of data points increases.

Berkeley Lab and NVIDIA Collaboration Accelerates U.S. Leadership in Hybrid Quantum–Classical Computing

QubiC Controller

NERSC Quantum Report Projects Progress for Science

Photo of the Aquila quantum computer at QuEra Computing

Unlocking the Power of Quantum Computing with Practical Benchmarking Tools

Close-up view of a quantum computer’s superconducting processor housed within a cylindrical, gold-colored cryogenic chamber, featuring multiple stacked plates connected by intricate wiring and metallic rods.

Unprecedented Perlmutter Simulation Details Quantum Chip

The Power of Numerical Analysis in Quantum Chemistry

Dr. Lin Lin (left), a faculty scientist in the Applied Mathematics and Computational Research division at Berkeley Lab and a Professor of Mathematics at the University of California, Berkeley; and Dr. Xin Xing (right), a former postdoctoral scholar from Lin’s group at UC Berkeley who is now at Apple.

NERSC Aids Hunt for "Cracks" in the Standard Model

A researcher adjusts a detector deep underground at the Sanford Underground Research Facility in South Dakota, the array of sensors used by the Majorana Collaboration to search for particle-level violations of the Standard Model. Credit: Matthew Kapust, Sanford Underground Research Facility

Quantum Insights: Innovating Data Representation, Analysis, and Visualization

The collaboration: (Top Row, Left to Right) Talita Perciano, Jan Balewski, Daan Camps. (Bottom Row, Left to Right) Roel Van Beeumen, Mercy G. Amankwah, E. Wes Bethel

Quantum-Inspired Artwork Unveiled

Visual artist Benjamin Arizmendi poses in front of his quantum-inspired artwork. (Credit: Paul Mueller/Berkeley Lab)
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