Controlling dipolar exchange interactions in a dense three-dimensional array of large-spin fermions

Now in Physical Review Research!

In joint theoretical and experimental work with our theory colleagues A.-M. Rey (JILA) and B. Zhu (ITAMP) we investigate dipolar induced magnetization-conserving spin exchange dynamics with fermionic Er in a 3D optical lattice. Our work is now published in Physical Review Research.

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Supersolid Quantum Matter

Physics: Highlights of the Year

The Physics magazine of the American Physical Society (APS) has named the discovery of supersolidity in ultracold quantum gases as one of the top ten highlights of 2019. The research group led by Francesca Ferlaino has for the first time obtained evidence of supersolidity in erbium and dysprosium gases. Similar experiments were conducted in Pisa and Stuttgart.

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Deep Learning-Assisted Classification of Site-Resolved Quantum Gas Microscope Images

Now in Measurement Science and Technology!

Illustration of the convolutional neural network architecture used in the present work. The images are a sample of the features learned at each layer of the network. These are created using a version of the deepDream algorithm in MATLAB, shown as a grid of artificial images which most strongly activate those features.

In collaboration with our theory colleague at IQOQI (Rick van Bijnen) we present a novel method for the analysis of quantum gas microscope images. Our method uses deep learning to improve the fidelity with which lattice sites can be classified as occupied or unoccupied. This method is able to improve upon the fidelity of threshold-based methods, following training on large data sets of simulated images.

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