Headlines
Svenja Knappe (Mechanical Engineering) is collaborating with scientists from the CU Anschutz Medical Campus to advance the use of quantum sensors that could aid in more effective diagnosis and treatment of a wide range of brain disorders.
Award-winning physicist Matt Eichenfield has been named the inaugural Karl Gustafson Endowed Chair of Quantum Engineering in the Department of Electrical, Computer and Energy Engineering at CU Boulder.
An NSF-funded collaboration between CU Boulder, NIST, and NOAA has set up a mobile optical atomic clock at the top of Mount Blue Sky in Colorado to capture what might be the most precise measurement yet of how time moves faster the farther you get from the center of Earth.
In a groundbreaking study, researchers at JILA have demonstrated continuous lasing and strong atom-cavity coupling using laser-cooled strontium atoms. This innovative experiment opens new avenues for precision measurement, promising advancements in quantum sensing and metrology.
Infleqtion’s star continues to rise as Colorado’s quantum hub grows. The company of firsts, spun out of CU Boulder as ColdQuanta, seems to be everywhere these days, including outer space.
Entrepreneur Eva Yao is working to commercialize quantum technology from the lab of Jun Ye (Physics) that can rapidly detect very small molecules in human breath, potentially enabling early disease detection and improved patient outcomes.
AB Nexus awarded four research teams from the CU Anschutz Medical Campus and CU Boulder. Collectively, the winning teams will receive $750,000 in funding to advance cutting-edge research that improves human health and well-being.
In a new theoretical study to be published in PRX Quantum, physicists at JILA have proposed a way to make the most precise clocks in the world even more robust—by weaving in the strange, protective properties of topological physics.
The Special Competitive Studies Project (SCSP) exposes students to applications of AI, quantum sciences, and a rich network of industry, national labs and government sector leaders.
AtomThermCAD uses AI-accelerated quantum physics calculations to model semiconductors at an atomic level so it can accurately predict whether components too small to be seen by the naked eye will overheat.