46 citations · 130 across the 4 of their papers we have counts for
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cond-mat.mes-hall2019★ 43 cited
A Machine Learning Approach for Automated Fine-Tuning of Semiconductor Spin Qubits
Julian D. Teske, Simon Humpohl, René Otten +6
While spin qubits based on gate-defined quantum dots have demonstrated very favorable properties for quantum computing, one remaining hurdle is the need to tune each of them into a…
cond-mat.mes-hall2018★ 46 cited
Tuning methods for semiconductor spin--qubits
Tim Botzem, Michael D. Shulman, Sandra Foletti +13
We present efficient methods to reliably characterize and tune gate-defined semiconductor spin qubits. Our methods are designed to target the tuning procedures of semiconductor dou…