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Automated In Situ Optimization and Disorder Mitigation in a Quantum Device.

Jacob Benestad1, Torbjørn Rasmussen2,3, Bertram Brovang2

  • 1Norwegian University of Science and Technology, Center for Quantum Spintronics, Department of Physics, NO-7491 Trondheim, Norway.

Physical Review Letters
|December 5, 2025
PubMed
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This summary is machine-generated.

We demonstrate automated in situ optimization of quantum point contact devices using evolutionary strategies. This method improves conductance quantization and mitigates disorder in quantum devices.

Area of Science:

  • Quantum electronics
  • Mesoscopic physics
  • Materials science

Background:

  • Quantum point contacts (QPCs) are fundamental building blocks in quantum electronics.
  • Precise control over the potential landscape in QPCs is crucial for quantum device performance.
  • Disorder in the material can significantly degrade the quantum conductance properties of QPCs.

Purpose of the Study:

  • To develop and demonstrate an automated in situ optimization method for the potential landscape in QPCs.
  • To improve the 'steplike' nature of conductance during channel constriction.
  • To mitigate the effects of random disorder potentials on QPC conductance.

Main Methods:

  • Utilized a 3x3 gate array patterned atop the QPC constriction for voltage control.

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  • Employed the covariance matrix adaptation evolutionary strategy for optimization.
  • Introduced a metric to quantify the 'steplike' conductance behavior.
  • Performed simulations using tight-binding models and conducted experiments on a physical device.

    • Main Results:

    • Successfully optimized the gate voltages in both simulations and experiments.
    • Demonstrated mitigation of random disorder potentials via in situ tuning.
    • Observed a marked improvement in the quantization of conductance in the optimized QPC.

    Conclusions:

    • Automated in situ optimization is an effective strategy for enhancing QPC performance.
    • The developed method can significantly improve conductance quantization and reduce disorder effects.
    • This approach offers a pathway for more robust and controllable quantum electronic devices.