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Category: News

What’s the Problem with Quantum Noise?

A stylized illustration on a teal grid background featuring a central golden quantum computer with stacked rings and wiring, surrounded by four panels: a glowing red star, a qubit with dashed axes (top right), a material diagram with a blue diamond shape (bottom left), and a medicine bottle with a green liquid (bottom right).

How Researchers Are Building Next-Gen Quantum Computers

Large silvery-gray metallic device with long copper wires on the exterior. Credit: Marilyn Sargent/Berkeley Lab

Reiner Kruecken Named Berkeley Lab’s Associate Laboratory Director for Physical Sciences

Reiner Kruecken. (Credit: Thor Swift/Berkeley Lab)

Introducing Iris, Berkeley Lab's prototype fiber-positioning robot for Spec-S5

Berkeley Lab's Engineering Division is developing Iris, a new fiber-positioning robot prototype for DESI's upgrade to 'Spec-S5.'

From the US Navy to Engineering Division Deputy of Operations: Mike Barry retires after 29 years of service at Berkeley Lab

Mike Barry

Made in Berkeley Lab: Winding a Novel Closed-Loop Coil Magnet Structure

A close-up of the closed-loop coil for the MARS-D magnet during production. The niobium-titanium (Nb-Ti) superconducting wire is shown wrapped around a series of 90-degree corners. (Credit: Lianrong Xu, Berkeley Lab)

The Invisible Cannonball: Tracking Alpha Therapy for the Future of Cancer Treatment

Host Jennifer Pore (left) chats with Javier Caravaca Rodriquez (right foreground) and Oscar Henry Matousek (right background, with glasses) about the future of nuclear medicine. (Credit: Nuclear Science Division, Berkeley Lab)

The National Academy of Sciences Elects Two Berkeley Lab Researchers

New NAS members Kam-Biu Luk (left) and Gary Karpen. (Credit: Jenny Weger, Berkeley Lab, and UC Berkeley)

Can the 88-Inch Cyclotron Save the Periodic Table?

NSD’s Jennifer Pore discusses Mendeleev’s Periodic Table, highlighting the importance of organizing elements by their true chemical properties if the periodic table is to retain its predictive power. (Credit: Corina Andreiou, Simon Fraser University)

Fast Machine Learning-Enabled Uncertainty Quantification for Radiological Mapping

Illustration of the radiological mapping and image reconstruction process, which plays a critical role in many nuclear security related applications. A detector system carried by an unmanned aerial vehicle scans the field to measure the counts due to environmental background and potential radioactive sources. The data collected during the mapping is processed on an edge computer. With traditional methods, such as MLEM, the major results output from the computer is a map showing the estimated radioactivity intensity. Using Bayesian methods, the major results output includes not only a radioactivity intensity estimate, but also their associated uncertainties. (Credit: Jayson R. Vavrek)

Energy-energy Correlators to Probe Particle Hadronization at Colliders

Energy-energy correlators (EECs) measure the correlations between two energy flows with an opening angle at colliders and can be described by the transverse momentum dependent di-hadron fragmentation functions (Credit: Feng Yuan)

Tracing a New Astrophysical Pathway for Making the Heavy Elements

Three labeled circles – connected by double-ended arrow lines, indicating a continuous, integrated, multidirectional process – surround a center rectangle with the words 'i process' on a background image of a starfield and multicolored nebula. The top circle says "Astrophysical Modeling" with an abstract graph image showing a cloud of rainbow-colored grid lines. The lower right circle says" Nuclear Data" and has an image of small bubbles or circles indicating an abstract configuration of subatomic nuclear particles. The lower-left circle is labeled "Astronomy" with a cartoon image of a telescope.

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