Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.
Site-selective preparation and multi-state readout of molecules in optical tweezers
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Polar molecules are a quantum resource with rich internal structure that can be coherently controlled. The structure, however, also makes the state preparation and measurement (SPAM) of molecules challenging. We advance the SPAM of individual molecules assembled from constituent atoms trapped in optical tweezer arrays. Sites without NaCs molecules are eliminated using high-fidelity Cs atom detection, increasing the peak molecule filling fraction of the array threefold. We site-selectively initialize the array in a rotational qubit subspace that is insensitive to differential AC Stark shifts from the optical tweezer. Lastly, we detect multiple rotational states per experimental cycle by imaging atoms after sequential state-selective dissociations. These demonstrations extend the SPAM capabilities of molecules for quantum information, simulation, and metrology.
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Modular Diffusion Policy Training: Decoupling and Recombining Guidance and Diffusion for Offline RL
Guidance-first diffusion training, which trains and freezes the value guidance before the policy, improves sample efficiency and enables cross-algorithm reuse of guidance modules in offline RL.