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Quantum Gas Microscopy of Fermionic Matter in Continuous Space

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In the last decade, quantum gas microscopy has emerged as a powerful technique to probe and
manipulate quantum many-body systems at the single-atom level. So far, however, it has only been used for the study of lattice and spin chain physics, prominently to explore the Hubbard model and its generalizations. In this talk, I will present our recent efforts to extend quantum gas microscopy to the study of fermionic many-body systems in continuous space and characterize them at previously inaccessible levels of resolution and control.

Summer Farewell Fest

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Join an evening of fun with your family and colleagues before the academic year begins! The event includes carnival games and inflatables, free food, music, wellness resources, and free backpacks with school supplies (limited). 

Frugal Science: A Physicist View on Tackling Global Health, Climate Change and Democratization of Science

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Abstract: Science faces an accessibility challenge. Although information/knowledge is fast becoming available to everyone around the world, the experience of science is significantly limited. One approach to solving this challenge is to democratize access to scientific tools. We believe this can be achieved via “Frugal science”; a philosophy that inspires design, development and deployment of ultra-affordable yet powerful scientific tools for the masses.

Connecting a narrow Th-229 nuclear clock transition with Sr optical clock via a VUV frequency comb

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Streaming in the JILA Auditorium from 2024 DAMOP Session Y02 Hot Topics

Abstract: We observed a narrow (~100 kHz) 229Th nuclear clock transition in Th-doped CaF2 crystals using a VUV frequency comb. The VUV comb directly links the 229Th nuclear transition frequency to the JILA Sr optical clock, enabling determination of the absolute 229Th clock frequency. These results represent a milestone in building solid-state nuclear clocks for precision measurements and fundamental physics.

“Reimagining the Exploration of Fundamental Interactions with AI”

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Abstract: Particle, nuclear, and astrophysics experiments are producing massive amounts of data to answer fundamental questions about the basic constituents of our universe.  While researchers in these areas have been using advanced data science tools for decades, modern machine learning has introduced a paradigm shift whereby data can be directly analyzed holistically without first compressing it into a more manageable and human understandable format.  How will the machines help us explore the unknown?  Can they be trusted to give us the right answers?