Sizing up an electron’s shape

Sizing up an electron’s shape

July 6, 2023

Using a complex setup of lasers and a novel ion trap, Jun Ye and Eric Cornell's teams at JILA and NIST set new records on the precision measurement of the electron electric dipole moment (eEDM). Their results, published in Science as the cover story, improved the measurement by a factor of 2.4.

Q-SEnSE researchers share their expertise in new video

Q-SEnSE researchers share their expertise in new video

June 28, 2023

At Q-SEnSE, an NSF Quantum Leap Challenge Institute led by Å·ÃÀ¿Ú±¬ÊÓƵ Boulder, multidisciplinary teams investigate promising solutions to formidable quantum challenges. In this recently released video, watch Q-SEnSE leaders, faculty and students discuss just a few of their recent projects.

Turning up the heat in quantum materials

Turning up the heat in quantum materials

June 12, 2023

To better understand heat transport at the nanoscale, JILA Fellows Margaret Murnane, Henry Kapteyn and their research groups created the first general analytical theory of nanoscale-confined heat transport, which can be used to engineer heat transport in 3D nanosystems for next-generation energy-efficient devices.

Leadership highlights vast potential for collaboration, new projects at quantum engineering lab ribbon cutting

Leadership highlights investment and momentum for collaboration, new projects at quantum engineering lab ribbon cutting

May 24, 2023

Leaders from across Å·ÃÀ¿Ú±¬ÊÓƵ Boulder and NIST gathered last week to celebrate the official launch of the Quantum Engineering Initiative Lab space within the College of Engineering and Applied Science. The newly dedicated area will connect quantum researchers across campus with NIST researchers and local industry.

Entangled pairs get sensitive very fast

Entangled pairs get sensitive very fast

May 23, 2023

JILA and NIST Fellows Ana Maria Rey and James K. Thompson and their collaborators have discovered how to generate a new flavor of entanglement: two-mode squeezing—a type of entanglement that can potentially be used to improve the best atomic clocks and sense how gravity changes the flow of time.

JILA Fellow Konrad Lehnert receives MURI award to advance quantum information processing

Konrad Lehnert receives MURI award to advance quantum information processing

May 17, 2023

The DOD's competitive Multidisciplinary University Research Initiative (MURI) Program has awarded three projects at Å·ÃÀ¿Ú±¬ÊÓƵ Boulder, a number matched only by MIT. Konrad Lehnert (Physics, JILA) will lead one of the projects, which explores using quantum phononics to advance quantum information processing.

Quantum researcher receives National Academy of Sciences honor

Ana Maria Rey receives National Academy of Sciences honor

May 15, 2023

Earlier this month, the National Academy of Sciences (NAS) announced that it has elected Ana Maria Rey (JILA, NIST) to join its ranks in 2023. A theoretical physicist and quantum research leader, Rey has helped to develop, among other things, the most accurate atomic clock ever created.

A tale of two dipoles

A tale of two dipoles

April 21, 2023

Dipolar gases gases consist of atoms or molecules that possess a non-zero electric dipole moment, which gives rise to long-range dipole-dipole interactions between particles. These interactions can lead to a variety of interesting and exotic quantum phenomena.

U.S. Department of Defense under secretary visits Å·ÃÀ¿Ú±¬ÊÓƵ Boulder

U.S. Department of Defense under secretary visits Å·ÃÀ¿Ú±¬ÊÓƵ Boulder

April 21, 2023

Heidi Shyu, under secretary of defense for research and engineering at the U.S. Department of Defense, got a first-hand look at the future of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder’s trailblazing research in quantum, aerospace, hypersonics and more when she visited campus on Monday, April 17.

Using frequency comb lasers as a breathalyzer for COVID-19

Using frequency comb lasers as a breathalyzer for COVID-19

April 6, 2023

JILA researchers have upgraded a breathalyzer based on Nobel Prize-winning frequency-comb technology and combined it with machine learning to detect COVID with excellent accuracy. Their work represents the first real-world test of the technology’s capability to diagnose disease in exhaled human breath.

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