Wavelet correlation noise analysis for qubit operation variable time series
Abstract In quantum computing, characterizing the full noise profile of qubits can aid in increasing coherence times and fidelities by developing error-mitigating techniques specific to the noise present. This characterization also supports efforts in advancing device fabrication to remove sources o...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-79553-2 |
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| author | Amanda E. Seedhouse Nard Dumoulin Stuyck Santiago Serrano Will Gilbert Jonathan Yue Huang Fay E. Hudson Kohei M. Itoh Arne Laucht Wee Han Lim Chih Hwan Yang Tuomo Tanttu Andrew S. Dzurak Andre Saraiva |
| author_facet | Amanda E. Seedhouse Nard Dumoulin Stuyck Santiago Serrano Will Gilbert Jonathan Yue Huang Fay E. Hudson Kohei M. Itoh Arne Laucht Wee Han Lim Chih Hwan Yang Tuomo Tanttu Andrew S. Dzurak Andre Saraiva |
| author_sort | Amanda E. Seedhouse |
| collection | DOAJ |
| description | Abstract In quantum computing, characterizing the full noise profile of qubits can aid in increasing coherence times and fidelities by developing error-mitigating techniques specific to the noise present. This characterization also supports efforts in advancing device fabrication to remove sources of noise. Qubit properties can be subject to non-trivial correlations in space and time, for example, spin qubits in MOS quantum dots are exposed to noise originating from the complex glassy behavior of two-level fluctuator ensembles. Engineering progress in spin qubit experiments generates large amounts of data, necessitating analysis techniques from fields experienced in managing large data sets. Fields such as astrophysics, finance, and climate science use wavelet-based methods to enhance their data analysis. Here, we propose and demonstrate wavelet-based analysis techniques to decompose signals into frequency and time components, enhancing our understanding of noise sources in qubit systems by identifying features at specific times. We apply the analysis to a state-of-the-art two-qubit experiment in a pair of SiMOS quantum dots with feedback applied to relevant operation variables. The observed correlations serve to identify common microscopic causes of noise, such as two-level fluctuators and hyperfine coupled nuclei, as well as to elucidate pathways for multi-qubit operation with more scalable feedback systems. |
| format | Article |
| id | doaj-art-26f3fc607b2d4bbaae6a37fd185d1ed8 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-26f3fc607b2d4bbaae6a37fd185d1ed82025-08-20T03:07:41ZengNature PortfolioScientific Reports2045-23222025-04-0115111210.1038/s41598-024-79553-2Wavelet correlation noise analysis for qubit operation variable time seriesAmanda E. Seedhouse0Nard Dumoulin Stuyck1Santiago Serrano2Will Gilbert3Jonathan Yue Huang4Fay E. Hudson5Kohei M. Itoh6Arne Laucht7Wee Han Lim8Chih Hwan Yang9Tuomo Tanttu10Andrew S. Dzurak11Andre Saraiva12School of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Fundamental Science and Technology, Keio UniversitySchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesSchool of Electrical Engineering and Telecommunications, The University of New South WalesAbstract In quantum computing, characterizing the full noise profile of qubits can aid in increasing coherence times and fidelities by developing error-mitigating techniques specific to the noise present. This characterization also supports efforts in advancing device fabrication to remove sources of noise. Qubit properties can be subject to non-trivial correlations in space and time, for example, spin qubits in MOS quantum dots are exposed to noise originating from the complex glassy behavior of two-level fluctuator ensembles. Engineering progress in spin qubit experiments generates large amounts of data, necessitating analysis techniques from fields experienced in managing large data sets. Fields such as astrophysics, finance, and climate science use wavelet-based methods to enhance their data analysis. Here, we propose and demonstrate wavelet-based analysis techniques to decompose signals into frequency and time components, enhancing our understanding of noise sources in qubit systems by identifying features at specific times. We apply the analysis to a state-of-the-art two-qubit experiment in a pair of SiMOS quantum dots with feedback applied to relevant operation variables. The observed correlations serve to identify common microscopic causes of noise, such as two-level fluctuators and hyperfine coupled nuclei, as well as to elucidate pathways for multi-qubit operation with more scalable feedback systems.https://doi.org/10.1038/s41598-024-79553-2 |
| spellingShingle | Amanda E. Seedhouse Nard Dumoulin Stuyck Santiago Serrano Will Gilbert Jonathan Yue Huang Fay E. Hudson Kohei M. Itoh Arne Laucht Wee Han Lim Chih Hwan Yang Tuomo Tanttu Andrew S. Dzurak Andre Saraiva Wavelet correlation noise analysis for qubit operation variable time series Scientific Reports |
| title | Wavelet correlation noise analysis for qubit operation variable time series |
| title_full | Wavelet correlation noise analysis for qubit operation variable time series |
| title_fullStr | Wavelet correlation noise analysis for qubit operation variable time series |
| title_full_unstemmed | Wavelet correlation noise analysis for qubit operation variable time series |
| title_short | Wavelet correlation noise analysis for qubit operation variable time series |
| title_sort | wavelet correlation noise analysis for qubit operation variable time series |
| url | https://doi.org/10.1038/s41598-024-79553-2 |
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