Localized strained silicon spikes in unstrained Ge channels, optimized via multi-objective Bayesian optimization, enhance spin-orbit interaction by up to three orders of magnitude and improve quantum-dot spin qubit quality factors by up to two orders.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cond-mat.mes-hall 2years
2026 2representative citing papers
Granular aluminum induces a hard, magnetically resilient superconducting gap of 305 μeV in germanium, allowing Zeeman splitting of YSR states beyond 50 μeV and g-tensor tunability for hole-based hybrid quantum devices.
citing papers explorer
-
Tailoring Germanium Heterostructures for Quantum Devices with Machine Learning
Localized strained silicon spikes in unstrained Ge channels, optimized via multi-objective Bayesian optimization, enhance spin-orbit interaction by up to three orders of magnitude and improve quantum-dot spin qubit quality factors by up to two orders.
-
Granular aluminum induced superconductivity in germanium for hole spin-based hybrid devices
Granular aluminum induces a hard, magnetically resilient superconducting gap of 305 μeV in germanium, allowing Zeeman splitting of YSR states beyond 50 μeV and g-tensor tunability for hole-based hybrid quantum devices.