Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models
We present and validate a method for noise injection of arbitrary spectra in quantum circuits that can be applied to any system capable of executing arbitrary single qubit rotations, including cloud-based quantum processors. As the consequences of temporally correlated noise on the performance of qu...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2022-02-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.4.013081 |
| _version_ | 1797210894967504896 |
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| author | Andrew Murphy Jacob Epstein Gregory Quiroz Kevin Schultz Lina Tewala Kyle McElroy Colin Trout Brian Tien-Street Joan A. Hoffmann B. D. Clader Junling Long David P. Pappas Timothy M. Sweeney |
| author_facet | Andrew Murphy Jacob Epstein Gregory Quiroz Kevin Schultz Lina Tewala Kyle McElroy Colin Trout Brian Tien-Street Joan A. Hoffmann B. D. Clader Junling Long David P. Pappas Timothy M. Sweeney |
| author_sort | Andrew Murphy |
| collection | DOAJ |
| description | We present and validate a method for noise injection of arbitrary spectra in quantum circuits that can be applied to any system capable of executing arbitrary single qubit rotations, including cloud-based quantum processors. As the consequences of temporally correlated noise on the performance of quantum algorithms are not well understood, the capability to engineer and inject such noise in quantum systems is paramount. To date, noise injection capabilities have been limited and highly platform specific, requiring low-level access to control hardware. We experimentally validate our method by comparing to a direct hardware-based noise-injection scheme. Using a combination of quantum noise spectroscopy and classical signal analysis, we show that the two approaches agree. These results showcase a highly versatile method for noise injection that can be utilized by theoretical and experimental researchers to verify, evaluate, and improve quantum characterization protocols and quantum algorithms for sensing and computing. |
| first_indexed | 2024-04-24T10:17:51Z |
| format | Article |
| id | doaj.art-e997589f49f3455494b8fe6a1379fbbf |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:17:51Z |
| publishDate | 2022-02-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-e997589f49f3455494b8fe6a1379fbbf2024-04-12T17:17:41ZengAmerican Physical SocietyPhysical Review Research2643-15642022-02-014101308110.1103/PhysRevResearch.4.013081Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average modelsAndrew MurphyJacob EpsteinGregory QuirozKevin SchultzLina TewalaKyle McElroyColin TroutBrian Tien-StreetJoan A. HoffmannB. D. CladerJunling LongDavid P. PappasTimothy M. SweeneyWe present and validate a method for noise injection of arbitrary spectra in quantum circuits that can be applied to any system capable of executing arbitrary single qubit rotations, including cloud-based quantum processors. As the consequences of temporally correlated noise on the performance of quantum algorithms are not well understood, the capability to engineer and inject such noise in quantum systems is paramount. To date, noise injection capabilities have been limited and highly platform specific, requiring low-level access to control hardware. We experimentally validate our method by comparing to a direct hardware-based noise-injection scheme. Using a combination of quantum noise spectroscopy and classical signal analysis, we show that the two approaches agree. These results showcase a highly versatile method for noise injection that can be utilized by theoretical and experimental researchers to verify, evaluate, and improve quantum characterization protocols and quantum algorithms for sensing and computing.http://doi.org/10.1103/PhysRevResearch.4.013081 |
| spellingShingle | Andrew Murphy Jacob Epstein Gregory Quiroz Kevin Schultz Lina Tewala Kyle McElroy Colin Trout Brian Tien-Street Joan A. Hoffmann B. D. Clader Junling Long David P. Pappas Timothy M. Sweeney Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models Physical Review Research |
| title | Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models |
| title_full | Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models |
| title_fullStr | Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models |
| title_full_unstemmed | Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models |
| title_short | Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models |
| title_sort | universal dephasing noise injection via schrodinger wave autoregressive moving average models |
| url | http://doi.org/10.1103/PhysRevResearch.4.013081 |
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