Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers
Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different D...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Transactions on Quantum Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9872062/ |
| _version_ | 1798001606450479104 |
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| author | Siyuan Niu Aida Todri-Sanial |
| author_facet | Siyuan Niu Aida Todri-Sanial |
| author_sort | Siyuan Niu |
| collection | DOAJ |
| description | Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different DD strategies have been proposed. Moreover, the circuit fidelity can be improved by pulse-level optimization, such as creating hardware-native pulse-efficient gates. This article implements all the popular DD sequences and evaluates their performances on IBM quantum chips with different characteristics for various well-known quantum applications. Also, we investigate combining DD with the pulse-level optimization method and apply them to QAOA to solve the max-cut problem. Based on the experimental results, we find that DD can be a benefit for only certain types of quantum algorithms, while the combination of DD and pulse-level optimization methods always has a positive impact. Finally, we provide several guidelines for users to learn how to use these noise mitigation methods to build circuits for quantum applications with high fidelity on IBM quantum computers. |
| first_indexed | 2024-04-11T11:38:52Z |
| format | Article |
| id | doaj.art-5f2b46f903ab4c5598df81cdbd8ed54a |
| institution | Directory Open Access Journal |
| issn | 2689-1808 |
| language | English |
| last_indexed | 2024-04-11T11:38:52Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Quantum Engineering |
| spelling | doaj.art-5f2b46f903ab4c5598df81cdbd8ed54a2022-12-22T04:25:53ZengIEEEIEEE Transactions on Quantum Engineering2689-18082022-01-01311010.1109/TQE.2022.32031539872062Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum ComputersSiyuan Niu0https://orcid.org/0000-0003-4683-381XAida Todri-Sanial1https://orcid.org/0000-0001-8573-2910LIRMM, University of Montpellier, Montpellier, FranceLIRMM, University of Montpellier, CNRS, Montpellier, FranceCurrently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different DD strategies have been proposed. Moreover, the circuit fidelity can be improved by pulse-level optimization, such as creating hardware-native pulse-efficient gates. This article implements all the popular DD sequences and evaluates their performances on IBM quantum chips with different characteristics for various well-known quantum applications. Also, we investigate combining DD with the pulse-level optimization method and apply them to QAOA to solve the max-cut problem. Based on the experimental results, we find that DD can be a benefit for only certain types of quantum algorithms, while the combination of DD and pulse-level optimization methods always has a positive impact. Finally, we provide several guidelines for users to learn how to use these noise mitigation methods to build circuits for quantum applications with high fidelity on IBM quantum computers.https://ieeexplore.ieee.org/document/9872062/Error mitigationnoisy intermediate-scale quantum (NISQ) hardware |
| spellingShingle | Siyuan Niu Aida Todri-Sanial Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers IEEE Transactions on Quantum Engineering Error mitigation noisy intermediate-scale quantum (NISQ) hardware |
| title | Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers |
| title_full | Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers |
| title_fullStr | Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers |
| title_full_unstemmed | Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers |
| title_short | Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers |
| title_sort | effects of dynamical decoupling and pulse level optimizations on ibm quantum computers |
| topic | Error mitigation noisy intermediate-scale quantum (NISQ) hardware |
| url | https://ieeexplore.ieee.org/document/9872062/ |
| work_keys_str_mv | AT siyuanniu effectsofdynamicaldecouplingandpulseleveloptimizationsonibmquantumcomputers AT aidatodrisanial effectsofdynamicaldecouplingandpulseleveloptimizationsonibmquantumcomputers |