Markovian noise modelling and parameter extraction framework for quantum devices
Abstract In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework for modelling the Markovian noise and dynamics of quantum systems in benchmark procedures used to evaluate device...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-54598-5 |
| _version_ | 1827327827447382016 |
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| author | Dean Brand Ilya Sinayskiy Francesco Petruccione |
| author_facet | Dean Brand Ilya Sinayskiy Francesco Petruccione |
| author_sort | Dean Brand |
| collection | DOAJ |
| description | Abstract In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework for modelling the Markovian noise and dynamics of quantum systems in benchmark procedures used to evaluate device performance. As an accessible example, the application and performance of this framework is demonstrated on IBM Quantum computers. This framework serves to extract multiple calibration parameters simultaneously through a simplified process which is more reliable than previously studied calibration experiments and tomographic procedures. Additionally, this method allows for real-time calibration of several hardware parameters of a quantum computer within a comprehensive procedure, providing quantitative insight into the performance of each device to be accounted for in future quantum circuits. The framework proposed here has the additional benefit of highlighting the consistency among qubit pairs when extracting parameters, which leads to a less computationally expensive calibration process than evaluating the entire device at once. |
| first_indexed | 2024-03-07T15:08:04Z |
| format | Article |
| id | doaj.art-47584129b51a4967bd61d92329175e99 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:08:04Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-47584129b51a4967bd61d92329175e992024-03-05T18:48:38ZengNature PortfolioScientific Reports2045-23222024-02-0114111610.1038/s41598-024-54598-5Markovian noise modelling and parameter extraction framework for quantum devicesDean Brand0Ilya Sinayskiy1Francesco Petruccione2Department of Physics, School of Data Science and Computational Thinking, Stellenbosch UniversitySchool of Chemistry and Physics, University of KwaZulu-NatalDepartment of Physics, School of Data Science and Computational Thinking, Stellenbosch UniversityAbstract In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework for modelling the Markovian noise and dynamics of quantum systems in benchmark procedures used to evaluate device performance. As an accessible example, the application and performance of this framework is demonstrated on IBM Quantum computers. This framework serves to extract multiple calibration parameters simultaneously through a simplified process which is more reliable than previously studied calibration experiments and tomographic procedures. Additionally, this method allows for real-time calibration of several hardware parameters of a quantum computer within a comprehensive procedure, providing quantitative insight into the performance of each device to be accounted for in future quantum circuits. The framework proposed here has the additional benefit of highlighting the consistency among qubit pairs when extracting parameters, which leads to a less computationally expensive calibration process than evaluating the entire device at once.https://doi.org/10.1038/s41598-024-54598-5 |
| spellingShingle | Dean Brand Ilya Sinayskiy Francesco Petruccione Markovian noise modelling and parameter extraction framework for quantum devices Scientific Reports |
| title | Markovian noise modelling and parameter extraction framework for quantum devices |
| title_full | Markovian noise modelling and parameter extraction framework for quantum devices |
| title_fullStr | Markovian noise modelling and parameter extraction framework for quantum devices |
| title_full_unstemmed | Markovian noise modelling and parameter extraction framework for quantum devices |
| title_short | Markovian noise modelling and parameter extraction framework for quantum devices |
| title_sort | markovian noise modelling and parameter extraction framework for quantum devices |
| url | https://doi.org/10.1038/s41598-024-54598-5 |
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