Hierarchical Quantum Architecture Search for Variational Quantum Algorithms
Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. In this context, quantum architecture search (QAS) has been introduced to automate the search and design of VQAs. However, current mains...
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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/10666003/ |
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| _version_ | 1832586895465381888 |
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| author | Tong Zhao Bo Chen Guanting Wu Liang Zeng |
| author_facet | Tong Zhao Bo Chen Guanting Wu Liang Zeng |
| author_sort | Tong Zhao |
| collection | DOAJ |
| description | Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. In this context, quantum architecture search (QAS) has been introduced to automate the search and design of VQAs. However, current mainstream QAS algorithms typically perform both global and local searches simultaneously, which can result in high search space complexity and optimization challenges. In this paper, we propose a hierarchical quantum architecture search framework based on a two-stage search structure. In the first stage, global exploration of the overall quantum circuit structure is performed, while in the second stage, local optimization of quantum gate selection is carried out. We provide a numerical analysis of the theoretical advantages of the proposed framework in reducing the search space. To evaluate practical performance, we conduct experiments on quantum chemistry tasks with different algorithm combinations integrated into the framework. The results demonstrate the effectiveness of the hierarchical search structure in automating quantum circuit design. |
| format | Article |
| id | doaj-art-e394d226173d4f7da4846658b0f65eda |
| 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-e394d226173d4f7da4846658b0f65eda2025-01-25T00:03:50ZengIEEEIEEE Transactions on Quantum Engineering2689-18082024-01-01511010.1109/TQE.2024.345464010666003Hierarchical Quantum Architecture Search for Variational Quantum AlgorithmsTong Zhao0Bo Chen1Guanting Wu2Liang Zeng3https://orcid.org/0009-0006-7086-7349Beijing Institute of Technology, Beijing, ChinaBeijing Institute of Technology, Beijing, ChinaBeijing Institute of Technology, Beijing, ChinaBeijing Institute of Technology, Beijing, ChinaDesigning efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. In this context, quantum architecture search (QAS) has been introduced to automate the search and design of VQAs. However, current mainstream QAS algorithms typically perform both global and local searches simultaneously, which can result in high search space complexity and optimization challenges. In this paper, we propose a hierarchical quantum architecture search framework based on a two-stage search structure. In the first stage, global exploration of the overall quantum circuit structure is performed, while in the second stage, local optimization of quantum gate selection is carried out. We provide a numerical analysis of the theoretical advantages of the proposed framework in reducing the search space. To evaluate practical performance, we conduct experiments on quantum chemistry tasks with different algorithm combinations integrated into the framework. The results demonstrate the effectiveness of the hierarchical search structure in automating quantum circuit design.https://ieeexplore.ieee.org/document/10666003/Automated quantum circuit designhierarchical quantum architecture search |
| spellingShingle | Tong Zhao Bo Chen Guanting Wu Liang Zeng Hierarchical Quantum Architecture Search for Variational Quantum Algorithms IEEE Transactions on Quantum Engineering Automated quantum circuit design hierarchical quantum architecture search |
| title | Hierarchical Quantum Architecture Search for Variational Quantum Algorithms |
| title_full | Hierarchical Quantum Architecture Search for Variational Quantum Algorithms |
| title_fullStr | Hierarchical Quantum Architecture Search for Variational Quantum Algorithms |
| title_full_unstemmed | Hierarchical Quantum Architecture Search for Variational Quantum Algorithms |
| title_short | Hierarchical Quantum Architecture Search for Variational Quantum Algorithms |
| title_sort | hierarchical quantum architecture search for variational quantum algorithms |
| topic | Automated quantum circuit design hierarchical quantum architecture search |
| url | https://ieeexplore.ieee.org/document/10666003/ |
| work_keys_str_mv | AT tongzhao hierarchicalquantumarchitecturesearchforvariationalquantumalgorithms AT bochen hierarchicalquantumarchitecturesearchforvariationalquantumalgorithms AT guantingwu hierarchicalquantumarchitecturesearchforvariationalquantumalgorithms AT liangzeng hierarchicalquantumarchitecturesearchforvariationalquantumalgorithms |