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12/15/2022
Demonstration of machine-learning-enhanced Bayesian quantum state estimation
Machine learning (ML) has found broad applicability in quantum informati...
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08/15/2022
Deep learning for enhanced free-space optical communications
Atmospheric effects, such as turbulence and background thermal noise, in...
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05/11/2022
Dimension-adaptive machine-learning-based quantum state reconstruction
We introduce an approach for performing quantum state reconstruction on ...
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01/22/2022
Data-Centric Machine Learning in Quantum Information Science
We propose a series of data-centric heuristics for improving the perform...
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07/15/2021
Improving application performance with biased distributions of quantum states
We consider the properties of a specific distribution of mixed quantum s...
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12/17/2020
On the experimental feasibility of quantum state reconstruction via machine learning
We determine the resource scaling of machine learning-based quantum stat...
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12/05/2020
Machine learning pipeline for quantum state estimation with incomplete measurements
Two-qubit systems typically employ 36 projective measurements for high-f...
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03/06/2020
Machine learning assisted quantum state estimation
We build a general quantum state tomography framework that makes use of ...
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09/05/2019
Dispersion Characterization and Pulse Prediction with Machine Learning
In this work we demonstrate the efficacy of neural networks in the chara...
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09/05/2019
Coherent Optical Communications Enhanced by Machine Intelligence
Uncertainty in discriminating between different received coherent signal...
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09/05/2019