High-fidelity geometric quantum gates exceeding 99.9% in germanium quantum dots

Journal Article (2025)
Author(s)

Yu Chen Zhou (TU Delft - PLD Infra & construction, University of Science and Technology of China)

Rong Long Ma (University of Science and Technology of China)

Zhenzhen Kong (Chinese Academy of Sciences)

Ao Ran Li (University of Science and Technology of China)

Chengxian Zhang (Guangxi University)

Xin Zhang (TU Delft - QuTech Advanced Research Centre, Kavli institute of nanoscience Delft)

Yang Liu (University of Science and Technology of China)

Hao Tian Jiang (University of Science and Technology of China)

Guo Ping Guo (Hefei National Laboratory, University of Science and Technology of China)

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Research Group
BUS/Quantum Delft
DOI related publication
https://doi.org/10.1038/s41467-025-63241-4
More Info
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Publication Year
2025
Language
English
Research Group
BUS/Quantum Delft
Journal title
Nature Communications
Issue number
1
Volume number
16
Article number
7953
Downloads counter
148
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Abstract

Achieving high-fidelity and robust qubit manipulations is a crucial requirement for realizing fault-tolerant quantum computation. Here, we demonstrate a single-hole spin qubit in a germanium quantum dot and characterize its control fidelity using gate set tomography. The maximum control fidelities reach 97.48%, 99.81%, 99.88% for the I, X/2 and Y/2 gate, respectively. These results reveal that off-resonance noise during consecutive I gates in gate set tomography sequences severely limits qubit performance. Therefore, we introduce geometric quantum computation to realize noise-resilient qubit manipulation. The geometric gate control fidelities remain above 99% across a wide range of Rabi frequencies. The maximum fidelity surpasses 99.9%. Furthermore, the fidelities of geometric X/2 and Y/2 (I) gates exceed 99% even when detuning the microwave frequency by ± 2.5 MHz (± 1.2 MHz), highlighting the noise-resilient feature. These results demonstrate that geometric quantum computation is a potential method for achieving high-fidelity qubit manipulation reproducibly in semiconductor quantum computation.