JILA X317

Abstract: Ultracold dipolar gases, formed by atoms or molecules with strong dipole-dipole interactions, present radically different physics compared to their non-dipolar counterparts. In this talk, I will focus on dipolar gases in optical lattices or tweezer arrays. I will first discuss the case of spin models realized by pinned dipoles in optical lattices, commenting on the intriguing relaxation dynamics of spin patterns in bilayer and ladder set ups, and then briefly browsing over some interesting disorder scenarios in dipolar spin models.

Abstract: 

The interplay of topological order and strong interactions gives rise to exciting many-body physics such as the fractional quantum Hall effect, whose microscopic properties can be unveiled using neutral atom-based quantum simulators. However, the experimental challenges due to the need to engineer an artificial magnetic field, especially in presence of interactions, have so far limited possible studies to small systems with few particles.

Abstract: Trapped ion systems are a leading platform for quantum information processing, but they are currently limited to 1D and 2D arrays, which imposes restrictions on both their scalability and their range of applications.

Abstract: Physics education research in undergraduate laboratory courses is vital to ensure that these courses achieve their learning goals, such as developing hands-on technical skills and mastering concepts and practices related to measurement uncertainty. In this talk, I cover my role in developing a research-based assessment instrument, the Survey of Physics Reasoning on Uncertainty Concepts in Experiments (SPRUCE).

Abstract: Spin glasses—large-scale networks of spins with deeply frustrated interactions—are canonical examples of complex matter. Although much about their structure remains uncertain, they inform the description of a wide array of complex phenomena, ranging from magnetic ordering in metals with impurities to aspects of evolution, protein folding, climate models, and combinatorial optimization. Indeed, spin glass theory forms a mathematical basis for neuromorphic computing and brain modeling.

The past decade has seen a huge wave of interest in the possibility of hydrodynamic transport of electrons and/or phonons in quantum materials.  There are now dozens of experiments that are approaching consensus on a weakly viscous hydrodynamic regime in e.g. monolayer graphene.