Efficient Autotuning of Si/SiGe Quantum Devices

ORAL

Abstract

Si/SiGe spin qubits are a promising path toward fault-tolerant quantum computing, but scaling these systems remains a major challenge. While current quantum-dot devices can be tuned using heuristic approaches, future large-scale architectures will require automated methods to efficiently navigate exponentially large parameter spaces. In this talk, we present results demonstrating efficient autotuning in both a 700 mK screening cryostat and full dilution refrigerator. Building on prior work in autonomous virtualization [1], we demonstrate techniques to autonomously tune up tunnel coupling, a key control parameter for qubit operation. These results highlight a pathway to scalable, automated control of spin-qubit arrays.  

[1] Rao et al., Phys. Rev. X. 15, 021034 (2025)

*Supported by ARO grant W911NF-23-1-0104.

Presenters

  • Victor Yu

    • University of California, Los Angeles
    • California State University, Los Angeles

Authors

  • Victor Yu

    • University of California, Los Angeles
    • California State University, Los Angeles
  • Connor Nasseraddin

    • University of California, Los Angeles
  • Jason R Petta

    • University of California, Los Angeles