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.
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Numerical simulations predict that tensile or unstrained germanium heterostructures yield spin splittings over 100 times larger than compressive cases, enabling GHz Andreev spin qubits with 100 ns all-electric gates.
A review summarizing spin qubit platforms, long-range coupling methods, and a proposal for topological linking toward scalable quantum information processing.
citing papers explorer
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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.
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Strain engineering of Andreev spin qubits in Germanium
Numerical simulations predict that tensile or unstrained germanium heterostructures yield spin splittings over 100 times larger than compressive cases, enabling GHz Andreev spin qubits with 100 ns all-electric gates.
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Theory of spin qubits and the path to scalability
A review summarizing spin qubit platforms, long-range coupling methods, and a proposal for topological linking toward scalable quantum information processing.