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A comparative study of deconvolution techniques for quantum-gas microscope images
New Journal of Physics (2023)
Abstract Quantum-gas microscopes are used to study ultracold atoms in optical lattices at the single-particle level. In these system …
Nitrogen buffer gas pressure tuning in a micro-machined vapor cell
Applied Physics Letters 123, (2023)
We demonstrate a controllable depletion of the nitrogen buffer gas pressure in a micro-machined cesium (Cs) vapor cell from the dynamic …
Quantifying hole-motion-induced frustration in doped antiferromagnets by Hamiltonian reconstruction
Communications Materials 4, 1–8 (2023)
Unveiling the microscopic origins of quantum phases dominated by the interplay of spin and motional degrees of freedom constitutes one …
Silicon-nitride photonic integrated circuits for atomic systems: 2023 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2023
2023 IEEE Photonics Society Summer Topicals Meeting Series (SUM) (2023)
We present the development of a silicon-nitride photonic integrated circuit platform aimed at a range of miniature atomic systems …
Universal equation of state for wave turbulence in a quantum gas
Nature 620, 521–524 (2023)
Boyle’s 1662 observation that the volume of a gas is, at constant temperature, inversely proportional to pressure, offered a …
Instabilities of interacting matter waves in optical lattices with Floquet driving
Physical Review Research 5, 033024 (2023)
Long-range interactions in a quantum gas mediated by diffracted light
Physical Review Research 5, L032004 (2023)
A Bose-Einstein condensate (BEC) interacting with an optical field via a feedback mirror can be a realization of the quantum …
Randomized Benchmarking Using Nondestructive Readout in a Two-Dimensional Atom Array
Physical Review Letters 131, 030602 (2023)
An additive-manufactured microwave cavity for a compact cold-atom clock
Journal of Applied Physics 133, 224401 (2023)
We present an additive-manufactured microwave cavity for a Ramsey-type, double resonance, compact cold-atom clock. Atoms can be laser …
Automated Machine Learning Strategies for Multi-Parameter Optimisation of a Caesium-Based Portable Zero-Field Magnetometer
Sensors 23, 4007 (2023)
Machine learning (ML) is an effective tool to interrogate complex systems to find optimal parameters more efficiently than through …