most citedA Machine Learning Approach for Automated Fine-Tuning of Semiconductor Spin Qubits

43 citations · 43 across the 1 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…