Spin-motion coupled quantum many-body dynamics with polar molecules
ORAL · Invited
Abstract
Polar molecules promise new opportunities for quantum technologies. Their rotational states can encode highly coherent spin systems, and dipolar interactions mediate controlled quantum entanglement between molecules. Furthermore, molecular motion can be tuned by optical lattice or tweezer potentials. In lattices, motion and interactions have comparable rates, leading to a complex interplay between spin and motion dynamics, described by generalizations to the paradigmatic tJ model. Here, we have studied the out-of-equilibrium quantum many-body dynamics of such spin-motion-coupled molecules. We study magnetization relaxation in a Ramsey contrast experiment. The relaxation dynamics follow a stretched exponential whose decay rate strongly depends on the lattice depth. We have developed three different numerical methods that can capture the spin-relaxation for different spin-motion coupling, matching experimental observations. The transition from frozen to itinerant dynamics can be highly peaked for spin-exchange or smooth for Ising interactions. We extend these methods to develop a microscopic model to quantitatively predict gate fidelities of molecules in optical tweezers, which predicts that motion is the main noise source. These methods can inform future experiments with polar molecules.
*This work was supported by the National Science Foundation grant no. QLCI OMA-2016244, the US Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator, ARO, and AFOSR MURIs, the JILA Physics Frontier Center grant no. PHY-2317149, the National Science Foundation grant no. PHY-2110327, the ARO single investigator Award No. W911NF-24-1-0128, and the National Institute of Standards and Technology. ANC acknowledges support from the National Science Foundation Graduate Research Fellowship under grant no. DGE 2040434. CM acknowledges support from the Department of Defense through the NDSEG Graduate Fellowship. SRM acknowledges support from the National Science Foundation under grant no. QLCI OMA-2120757. KPZ acknowledges support from the Austrian Science Fund (FWF) under grant no. W1259-N27.