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most citedA quantum gas microscope - detecting single atoms in a Hubbard regime optical lattice

1.5k citations

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12 papers · 1 filter

quant-ph2024★ 5 cited

Enhancing Dynamic Range of Sub-Quantum-Limit Measurements via Quantum Deamplification

Qi Liu, Ming Xue, Matthew Radzihovsky +4

Balancing high sensitivity with a broad dynamic range is a fundamental challenge in measurement science, as improving one often compromises the other. While traditional quantum met…

quant-ph2024★ 4 cited

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…

cond-mat.quant-gas2024★ 5 cited

Observation of a Halo Trimer in an Ultracold Bose-Fermi Mixture

Alexander Y. Chuang, Huan Q. Bui, Arthur Christianen +5

The quantum mechanics of three interacting particles gives rise to interesting universal phenomena, such as the staircase of Efimov trimers predicted in the context of nuclear phys…

cond-mat.quant-gas2024★ 23 cited

Measuring pair correlations in Bose and Fermi gases via atom-resolved microscopy

Ruixiao Yao, Sungjae Chi, Mingxuan Wang +2

We demonstrate atom-resolved detection of itinerant bosonic Na and fermionic Li quantum gases, enabling the direct in situ measurement of interparticle correlations. In…

physics.atom-ph2024★ 24 cited

Magneto-optical trapping of a heavy polyatomic molecule for precision measurement

Zack D. Lasner, Alexander Frenett, Hiromitsu Sawaoka +10

We report a magneto-optical trap of strontium monohydroxide (SrOH) containing 2000(600) molecules at a temperature of 1.2(3) mK. The lifetime is 91(9) ms, which is limited by decay…

cs.RO2024★ 7 cited

Speech to Reality: On-Demand Production using Natural Language, 3D Generative AI, and Discrete Robotic Assembly

Alexander Htet Kyaw, Miana Smith, Se Hwan Jeon +1

We present a system that transforms speech into physical objects using 3D generative AI and discrete robotic assembly. By leveraging natural language, the system makes design and m…