1 citations · 1 across the 2 of their papers we have counts for
5 papers
Deep Reinforcement Learning for Individual Atomic Control and Cooling
Matthew L. Peters, Guoqing Wang, David C. Spierings +5
Real-time feedback control of quantum systems is often limited by partial observations, nonlinear dynamics and measurement noise, which make accurate model-based controllers diffic…
Mode multiplexing for scalable cavity-enhanced operations in neutral-atom arrays
Ziv Aqua, Matthew L. Peters, David C. Spierings +4
Neutral atom arrays provide a versatile platform for quantum information processing. However, in large-scale arrays, efficient photon collection remains a bottleneck for key tasks…
High-efficiency loading of 2,400 Ytterbium atoms in optical tweezer arrays
Jiawen Zhu, Changfeng Chen, Li Zhou +10
Neutral atom arrays have emerged as a powerful platform for quantum computation, simulation, and metrology.Among them, alkaline-earth-like atoms exhibit distinct advantages, includ…
Programmable few-atom Bragg scattering and ground-state cooling in a cavity
Guoqing Wang, David C. Spierings, Matthew L. Peters +3
By integrating tweezer arrays with a high-cooperativity ring cavity with chiral atom-cavity coupling, we demonstrate highly directional Bragg scattering from a programmable number…
Cavity-enabled real-time observation of individual atomic collisions
Matthew L. Peters, Guoqing Wang, David C. Spierings +4
Using the strong dispersive coupling to a high-cooperativity cavity, we demonstrate fast and non-destructive number-resolved detection of atoms in optical tweezers. We observe indi…