Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise
In this article, we investigate the stability of probabilistic error cancellation (PEC) outcomes in the presence of nonstationary noise, which is an obstacle to achieving accurate observable estimates. Leveraging Bayesian methods, we design a strategy to enhance PEC stability and accuracy. Our exper...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Quantum Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10645687/ |
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| author | Samudra Dasgupta Travis S. Humble |
| author_facet | Samudra Dasgupta Travis S. Humble |
| author_sort | Samudra Dasgupta |
| collection | DOAJ |
| description | In this article, we investigate the stability of probabilistic error cancellation (PEC) outcomes in the presence of nonstationary noise, which is an obstacle to achieving accurate observable estimates. Leveraging Bayesian methods, we design a strategy to enhance PEC stability and accuracy. Our experiments using a five-qubit implementation of the Bernstein–Vazirani algorithm and conducted on the ibm_kolkata device reveal a 42% improvement in accuracy and a 60% enhancement in stability compared to nonadaptive PEC. These results underscore the importance of adaptive estimation processes to effectively address nonstationary noise, vital for advancing PEC utility. |
| format | Article |
| id | doaj-art-4910339ed47c400bb32ee072784e067e |
| institution | Kabale University |
| issn | 2689-1808 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Quantum Engineering |
| spelling | doaj-art-4910339ed47c400bb32ee072784e067e2025-01-25T00:03:40ZengIEEEIEEE Transactions on Quantum Engineering2689-18082024-01-01511410.1109/TQE.2024.343575710645687Improving Probabilistic Error Cancellation in the Presence of Nonstationary NoiseSamudra Dasgupta0https://orcid.org/0000-0002-7831-745XTravis S. Humble1https://orcid.org/0000-0002-9449-0498Quantum Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USAQuantum Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USAIn this article, we investigate the stability of probabilistic error cancellation (PEC) outcomes in the presence of nonstationary noise, which is an obstacle to achieving accurate observable estimates. Leveraging Bayesian methods, we design a strategy to enhance PEC stability and accuracy. Our experiments using a five-qubit implementation of the Bernstein–Vazirani algorithm and conducted on the ibm_kolkata device reveal a 42% improvement in accuracy and a 60% enhancement in stability compared to nonadaptive PEC. These results underscore the importance of adaptive estimation processes to effectively address nonstationary noise, vital for advancing PEC utility.https://ieeexplore.ieee.org/document/10645687/Bayesian inferencenonstationary quantum channelsprobabilistic error cancellation (PEC)stability |
| spellingShingle | Samudra Dasgupta Travis S. Humble Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise IEEE Transactions on Quantum Engineering Bayesian inference nonstationary quantum channels probabilistic error cancellation (PEC) stability |
| title | Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise |
| title_full | Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise |
| title_fullStr | Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise |
| title_full_unstemmed | Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise |
| title_short | Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise |
| title_sort | improving probabilistic error cancellation in the presence of nonstationary noise |
| topic | Bayesian inference nonstationary quantum channels probabilistic error cancellation (PEC) stability |
| url | https://ieeexplore.ieee.org/document/10645687/ |
| work_keys_str_mv | AT samudradasgupta improvingprobabilisticerrorcancellationinthepresenceofnonstationarynoise AT travisshumble improvingprobabilisticerrorcancellationinthepresenceofnonstationarynoise |