Passive and active suppression of transduced noise in silicon spin qubits

Abstract Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. While nuclear spin-free materials, such as isotopically purified si...

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Main Authors: Jaemin Park, Hyeongyu Jang, Hanseo Sohn, Jonginn Yun, Younguk Song, Byungwoo Kang, Lucas E. A. Stehouwer, Davide Degli Esposti, Giordano Scappucci, Dohun Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55338-z
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author Jaemin Park
Hyeongyu Jang
Hanseo Sohn
Jonginn Yun
Younguk Song
Byungwoo Kang
Lucas E. A. Stehouwer
Davide Degli Esposti
Giordano Scappucci
Dohun Kim
author_facet Jaemin Park
Hyeongyu Jang
Hanseo Sohn
Jonginn Yun
Younguk Song
Byungwoo Kang
Lucas E. A. Stehouwer
Davide Degli Esposti
Giordano Scappucci
Dohun Kim
author_sort Jaemin Park
collection DOAJ
description Abstract Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. While nuclear spin-free materials, such as isotopically purified silicon, exhibit intrinsically promising coherence properties for electron spin qubits, the omnipresent charge noise, when converted to magnetic noise under a strong magnetic field gradient, often hinders stable qubit operation within a time frame comparable to the data acquisition time. Here, we demonstrate both open- and closed-loop suppression techniques for the transduced noise in silicon spin qubits, resulting in a more than two-fold (ten-fold) improvement of the inhomogeneous coherence time (Rabi oscillation quality) that leads to a single-qubit gate fidelity of over 99.6% even in the presence of a strong decoherence field gradient. Utilizing gate set tomography, we show that adaptive qubit control also reduces the non-Markovian noise in the system, which validates the stability of the gate fidelity. The technique can be used to learn multiple Hamiltonian parameters and is useful for the intermittent calibration of the circuit parameters with affordable experimental overhead, providing a useful subroutine during the repeated execution of general quantum circuits.
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spelling doaj-art-e395028ac65b41d281273070122a8cab2025-08-20T02:53:57ZengNature PortfolioNature Communications2041-17232025-01-011611810.1038/s41467-024-55338-zPassive and active suppression of transduced noise in silicon spin qubitsJaemin Park0Hyeongyu Jang1Hanseo Sohn2Jonginn Yun3Younguk Song4Byungwoo Kang5Lucas E. A. Stehouwer6Davide Degli Esposti7Giordano Scappucci8Dohun Kim9Department of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityQuTech and Kavli Institute of Nanoscience, Delft University of TechnologyQuTech and Kavli Institute of Nanoscience, Delft University of TechnologyQuTech and Kavli Institute of Nanoscience, Delft University of TechnologyDepartment of Physics and Astronomy, and Institute of Applied Physics, Seoul National UniversityAbstract Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. While nuclear spin-free materials, such as isotopically purified silicon, exhibit intrinsically promising coherence properties for electron spin qubits, the omnipresent charge noise, when converted to magnetic noise under a strong magnetic field gradient, often hinders stable qubit operation within a time frame comparable to the data acquisition time. Here, we demonstrate both open- and closed-loop suppression techniques for the transduced noise in silicon spin qubits, resulting in a more than two-fold (ten-fold) improvement of the inhomogeneous coherence time (Rabi oscillation quality) that leads to a single-qubit gate fidelity of over 99.6% even in the presence of a strong decoherence field gradient. Utilizing gate set tomography, we show that adaptive qubit control also reduces the non-Markovian noise in the system, which validates the stability of the gate fidelity. The technique can be used to learn multiple Hamiltonian parameters and is useful for the intermittent calibration of the circuit parameters with affordable experimental overhead, providing a useful subroutine during the repeated execution of general quantum circuits.https://doi.org/10.1038/s41467-024-55338-z
spellingShingle Jaemin Park
Hyeongyu Jang
Hanseo Sohn
Jonginn Yun
Younguk Song
Byungwoo Kang
Lucas E. A. Stehouwer
Davide Degli Esposti
Giordano Scappucci
Dohun Kim
Passive and active suppression of transduced noise in silicon spin qubits
Nature Communications
title Passive and active suppression of transduced noise in silicon spin qubits
title_full Passive and active suppression of transduced noise in silicon spin qubits
title_fullStr Passive and active suppression of transduced noise in silicon spin qubits
title_full_unstemmed Passive and active suppression of transduced noise in silicon spin qubits
title_short Passive and active suppression of transduced noise in silicon spin qubits
title_sort passive and active suppression of transduced noise in silicon spin qubits
url https://doi.org/10.1038/s41467-024-55338-z
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