Highlights in this edition of the ATAP Newsletter include how our researchers use machine learning techniques to measure a superconducting qubit’s state and improve the operational performance of Berkeley Lab’s Advanced Light Source (ALS). A new beam-shaping technique is improving laser efficiency, and an innovative approach could enhance the performance of superconductors for high-field magnets.

Working at the intersection of quantum computing and artificial intelligence, an interdisciplinary team of researchers led by ATAP’s Berkeley Accelerator Controls & Instrumentation Program has developed a groundbreaking technique that can rapidly and accurately measure the state of a superconducting qubit. The method integrates machine learning and conventional electronic control systems to perform real-time, mid-circuit measurements of a superconducting qubit’s state. It promises to bring quantum computing closer to reality while providing ultra-high-precision control technology for particle accelerators and laser systems.

Our Advanced Light Source Accelerator Physics Program is also harnessing the power of artificial intelligence to improve ALS’s performance and expand its capabilities. Their ongoing efforts have led to a successful fusion of deep learning (a machine learning technique) with control systems, resulting in improved stability of the facility’s electron beam. The method significantly increases the speed and precision of beam control during operation, greatly enhancing the facility’s operational performance and developing techniques for using machine learning to improve other operational accelerators.

Scientists and engineers at our BELLA Center have developed a laser beam-shaping technique that could enhance and broaden laser applications. Combining a refractive beam shaper and a spatial light modulator, the technique provides a more efficient (high-throughput) way of shaping initially imperfect laser pulses. It could significantly enhance the precision and efficiency of laser applications in large-scale, high-quality material processing and manufacturing.

ATAP’s Superconducting Magnet Program (SMP) continues to explore ways to improve high-field magnet technologies. To this end, researchers at SMP have demonstrated an innovative technique for studying synthetic grain microstructures by approximating a 3D grain size distribution from 2D grain cross-sections. Their technique could substantially improve the analysis of superconductors like niobium-tin, a key material for high-field particle accelerator magnets and broad applications.

SMP researchers have also contributed to an authoritative study by the National Academies of Sciences, Engineering, and Medicine on the current state and future prospects of high-magnetic-field technologies. Published in August, the study identifies new scientific opportunities and key applications for high-magnetic-field science and technology for the next decade, well aligned with the SMP program and the priorities for accelerators, high-energy physics, and fusion.

At our August All-to-All meeting, Joerg Heber, who heads the Lab’s Research Compliance Office, presented an insightful and thought-provoking talk on the importance of ensuring that researchers receive appropriate credit when publishing the results of scientific research and highlighting practices for effective collaboration and crediting.

From September through October, the Lab celebrated Hispanic and Latin American Heritage Month by raising a banner on September 16th at building 65A, close to the site’s main entrance. This and other events allow us to learn about each other’s cultures and to celebrate and show appreciation for our Hispanic and Latin American colleagues and their contributions to advancing and supporting science.

Congratulations to ATAP’s Ina Reichel, Asmita Patel, Pat Thomas, and Paolo Ferracin and to the High Luminosity Large Hadron Collider Accelerator Upgrade Project cabling core team, which included Ian Pong, Andy Lin, Mike Naus, Jean-Francois Croteau, Elaine Buron, Soren Prestemon, Paolo Ferracin, Elizabeth Lee, Asmita Patel, Pat Thomas, Chris Georgiou, Stephanie Chan-Shun, George Fraley, Karen Lingua, Brian Zatkow, and Hugh Higley, for being honored in the 2024 Berkeley Lab Director’s Awards. Thank you for your outstanding efforts in delivering scientific projects and in IDEA, outreach, and safety. The awards will be presented at a ceremony in the Lab’s Building 50 Auditorium on November 8, 2024, followed by a reception in Building 91.

The peak of California’s ever-expanding wildlands fire season is upon us. As part of our commitment to keeping all our employees, affiliates, and contractors safe, read about protecting yourself, your family, and your community during wildfire season.

Finally, with mixed feelings, we announce ATAP Divisional Safety Coordinator Pat Thomas’ retirement after nearly three decades of exemplary service to the lab. Pat will be greatly missed by all at the Lab, and we wish her a happy, relaxing, and fulfilling retirement.

Written by Carl A. Williams or other authors as credited.

For more information on ATAP News articles, contact caw@lbl.gov.