Multi-objective Bayesian optimization of Si-spike-enriched Ge heterostructures predicts up to 1000x stronger spin-orbit interaction and 100x better spin-qubit quality factors than state-of-the-art Ge/SiGe wells.
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Tailoring Germanium Heterostructures for Quantum Devices with Machine Learning
Multi-objective Bayesian optimization of Si-spike-enriched Ge heterostructures predicts up to 1000x stronger spin-orbit interaction and 100x better spin-qubit quality factors than state-of-the-art Ge/SiGe wells.