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Automated All-RF Tuning for Spin Qubit Readout and Control

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arxiv 2506.10834 v1 pith:3HU5WE2Z submitted 2025-06-12 cond-mat.mes-hall

classification cond-mat.mes-hall
keywords tuningspinqubitchargequantumautomatedcontrolqubits
verification ladder T0 review T1 audit T2 compute T3 formal
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Efficient tuning of spin qubits remains a major bottleneck in scaling semiconductor quantum dot-based quantum processors. A key challenge is the rapid identification of gate voltage regimes suitable for qubit initialisation, control, and readout. Here, we leverage radio-frequency charge sensing to automate spin qubit tuning, achieving a median tuning time of approximately 15 minutes. In a single continuous run, our routine identifies spin qubits at 12 distinct charge transitions in under 17 hours. Beyond tuning, our routine autonomously acquires data revealing the gate-voltage dependence of the exchange interaction, dephasing time, and quality factor -- quantities that vary substantially between charge configurations. These results represent a step change in high-throughput spin qubit tuning and provide a foundation for a systematic and automated exploration of semiconductor quantum circuits.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning

    cs.LG 2026-07 conditional novelty 6.0 of 10

    Online action-space factorization via Kalman-refined cross-capacitance lets shared multi-agent policies zero-shot tune larger quantum-dot arrays with near-constant steps.

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