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Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques
The inherent flexibility of our approach allows easy adaptation to various tasks, thus making it highly relevant to many applications of the semiconductor industry.
A high-sensitivity charge sensor for silicon qubits above one kelvin
Recent studies of silicon spin qubits at temperatures above 1 K are encouraging demonstrations that the cooling requirements for solid-state quantum computing can be considerably relaxed.
Mesoscale and Nanoscale Physics Quantum Physics
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