11 citations · 11 across the 7 of their papers we have counts for
4 papers · 1 filter
Training Foundation Models with a Single Algorithm
Yuda Song, Alvin Zhang, Fahim Tajwar +7
Foundation models are typically trained in stages: pretraining, midtraining, supervised fine-tuning (SFT), and reinforcement learning (RL), with changes in both data and learning a…
Quantum sensing of radiofrequency fields using cold Rydberg atoms in a super-molasses trap
Romain Granier, Anthony El Bekai, Miguel Angel Cifuentes Marín +12
We demonstrate the quantum sensing of radiofrequency fields based on cold Rydberg atoms in a super-molasses trap, without the need for magnetic coils. Our approach combines the met…
Characterisation of a triple-species 87Rb/85Rb/133Cs magneto-optical trap towards cold-atom interferometry
Mal Landru, Amandine Lauret, Yannick Bidel +5
We present the simultaneous trapping and cooling of Rb, Rb and Cs in a triple-species magneto-optical trap (MOT). This demonstration is obtained using a…
Rydberg Receivers for Space Applications
Gianluca Allinson, Mark Bason, Alexis Bonnin +10
Rydberg-atom sensors convert radiofrequency, microwave and terahertz fields into optical signals with SI-traceable calibration, high sensitivity, and broad tunability. This review…