JILA Auditorium

Abstract:

Abstract: The atomic nucleus emerges from interacting quantum particles called quarks and gluons, but how this happens remains unknown. This might be elucidated with quantum-level "images" of their position, orbital motion, spin alignment, and entanglement. I will describe recent and upcoming experiments at the Thomas Jefferson Laboratory that use a high-intensity, high-energy electron beam to probe a wide range of nuclear targets, from polarized lithium to lead.

Reception with cake in the h-bar (3rd floor, X-wing) following the talk.

Abstract: Superconducting quantum computers, once scaled up, could solve problems intractable to even the largest classical supercomputers, but better superconducting qubits are needed before this can occur. Superconducting qubit coherence is currently limited both by cryogenic low-power dielectric loss and by large temporal fluctuations due to strongly-coupled defects.

Abstract: 

New tools of light for increasingly refined observation and control of molecules are providing new opportunities to study complex structure and emergent quantum properties, to set new bounds for fundamental symmetry, to probe real-time reaction kinetics, and to apply molecular sensing for medical diagnosis. Meanwhile, quantum gases of molecules constitutes an outstanding experimental platform for precise quantum state engineering and control of inter-molecular interactions, enabling exploration of novel chemical reactions and quantum magnetism

Abstract: Two Nobel prizes were just awarded on machine learning topics, reflecting the broad enthusiasm for data-driven methodologies in the physical sciences. The public facing view on machine learning—and also what is taught in the classroom—emphasizes the powerful algorithms that enable learning through deep neural networks and related models. In contrast, I will present my view on the less visible counterpart to the algorithm: the data, upon which all machine learning models stand or fall.

This event will feature engaging presentations from our JILA members, offering insights into their passions and hobbies. It’s a fantastic opportunity to learn from one another and foster collaboration within the JILA community.
We have a fantastic speaker line-up for you this year, so please see below for a preview of what subjects we'll be covering:

Abstract: Localized surface plasmon resonances (LSPRs) have a broad technology potential as an attractive platform for surface-enhanced spectroscopies, refractive index sensing, hyperthermal cancer therapy, plasmon-enhanced catalysis, and so on. One of the newest metals for plasmonics is magnesium. It is earth-abundant, biocompatible, and has a higher plasmonic quality factor than aluminum across the visible (and than gold and copper in the blue).