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05/25/2023
Extending Explainable Boosting Machines to Scientific Image Data
As the deployment of computer vision technology becomes increasingly com...
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01/20/2023
Automated extraction of capacitive coupling for quantum dot systems
Gate-defined quantum dots (QDs) have appealing attributes as a quantum c...
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09/08/2022
Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
Quantum computers based on gate-defined quantum dots (QDs) are expected ...
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05/17/2022
Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research
We establish a dataset of over 1.6×10^4 experimental images of Bose-Eins...
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12/17/2021
Colloquium: Advances in automation of quantum dot devices control
Arrays of quantum dots (QDs) are a promising candidate system to realize...
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11/08/2021
Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons
In ultracold atom experiments, data often comes in the form of images wh...
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07/30/2021
Toward Robust Autotuning of Noisy Quantum Dot Devices
The current autotuning approaches for quantum dot (QD) devices, while sh...
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03/17/2021
Theoretical bounds on data requirements for the ray-based classification
The problem of classifying high-dimensional shapes in real-world data gr...
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02/23/2021
Ray-based framework for state identification in quantum dot devices
Quantum dots (QDs) defined with electrostatic gates are a leading platfo...
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01/14/2021
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates
Most data in cold-atom experiments comes from images, the analysis of wh...
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10/01/2020
