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A new underground research space at Fermilab allows scientists to study superconducting quantum qubits in an environment with significantly reduced interference caused by cosmic rays. The laboratory, called QUIET, has a twin at the Earth’s surface named LOUD. This arrangement allows for controlled direct comparisons of quantum sensor and computing experiments.
Physics may seem like its own world, but different sectors using machine learning are all part of the same universe.
Through unique qubit fabrication techniques, scientists have demonstrated systematic improvements in the performance of superconducting devices for quantum computing, communication, and sensing.
Fermilab received visitors from the São Paulo Research Foundation, including the foundation’s executive director, Carlos Américo Pacheco. The group came to hear from researchers and engineers about how Fermilab brings technologies together from across disciplines to make advances in particle physics, quantum computing and more.
Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.
Leadership appointment enhances team at Fermilab with extensive operations experience.
Postdoctoral researcher Jelani Hannah aims to foster collaboration among teams of researchers during his three-year Joint Task Force Initiative fellowship at Fermilab.
Spring brings new life to Fermi National Accelerator Laboratory as calving season begins for the lab’s herd of American bison. Today, two bison calves were born at Fermilab. The lab has a long tradition of providing habitat for bison, connecting particle physics research to the Midwestern prairie. This season, 20 baby bison are expected.
Fermilab’s Chief Research Officer Bonnie Fleming has been elected to the prestigious American Academy of Arts & Sciences, honoring excellence and leadership throughout her science career.
For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.