Signatures of Pauli Blockaded Spin Transport Across Coupled Quantum Spin Chains

Simon Svab, Rafael S. Eggli, Taras Patlatiuk +7 more

利正 藤澤, T. Fujisawa

Natalia Ares, Jonas Schuff, D. T. Lennon +9 more

Abstract Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically identifying PSB using charge transport measurements. The scarcity of PSB data is circumvented by training the algorithm with simulated data and by using cross-device validation. We demonstrate our approach on a silicon field-effect transistor device and report an accuracy of 96% on different test devices, giving evidence that the approach is robust to device variability. The approach is expected to be employable across all types of quantum dot devices.

Christian Groß

Sujit Sarkar, Dipankar Home, Guruprasad Kar +1 more

Jonas Schuff, D. T. Lennon, Simon Geyer +9 more

Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically identifying PSB using charge transport measurements. The scarcity of PSB data is circumvented by training the algorithm with simulated data and by using cross-device validation. We demonstrate our approach on a silicon field-effect transistor device and report an accuracy of 96% on different test devices, giving evidence that the approach is robust to device variability. Our algorithm, an essential step for realising fully automatic qubit tuning, is expected to be employable across all types of quantum dot devices.