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11/22/2021
Bridging the reality gap in quantum devices with physics-aware machine learning
The discrepancies between reality and simulation impede the optimisation...
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07/27/2021
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
The potential of Si and SiGe-based devices for the scaling of quantum ci...
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09/30/2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
Deep reinforcement learning is an emerging machine learning approach whi...
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01/13/2020
Quantum device fine-tuning using unsupervised embedding learning
Quantum devices with a large number of gate electrodes allow for precise...
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01/08/2020
Machine learning enables completely automatic tuning of a quantum device faster than human experts
Device variability is a bottleneck for the scalability of semiconductor ...
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10/23/2018