Full optimization of a single-qubit gate on the generalized sequential quantum optimizer

• Item type: SIG Technical Reports(1)
• 公開日: 2022-10-20
• タイトル: Full optimization of a single-qubit gate on the generalized sequential quantum optimizer
• タイトル / 言語: en
• タイトル: Full optimization of a single-qubit gate on the generalized sequential quantum optimizer
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Applied Physics and Physico-Informatics, Keio University
• 著者所属: IBM Quantum, IBM Japan／Quantum Computing Center, Keio University／Department of Computer Science, The University of Tokyo
• 著者所属: Toyota Central R&D Labs., Inc.／Quantum Computing Center, Keio University
• 著者所属: Quantum Computing Center, Keio University
• 著者所属(英): en
• 著者所属(英): Department of Applied Physics and Physico-Informatics, Keio University
• 著者所属(英): en
• 著者所属(英): IBM Quantum, IBM Japan / Quantum Computing Center, Keio University / Department of Computer Science, The University of Tokyo
• 著者所属(英): en
• 著者所属(英): Toyota Central R&D Labs., Inc. / Quantum Computing Center, Keio University
• 著者所属(英): en
• 著者所属(英): Quantum Computing Center, Keio University
• 著者名: Kaito, Wada; Rudy, Raymond; Yuki, Sato; Hiroshi, C. Watanabe
• 著者名(英): Kaito, Wada; Rudy, Raymond; Yuki, Sato; Hiroshi, C. Watanabe
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We propose a new quantum algorithm based on analytically-maximum optimization of a single-qubit gate in parameterized quantum circuits (PQCs). Variational quantum algorithms on near-term quantum devices depend on the ability to optimize objective functions with hardware-efficient PQCs. Standard optimizations utilize single-parameter quantum gates in PQCs whose rotation angles along fixed axes are parametrized. The parameters are then updated by gradient or by sequential quantum optimization. A conventional sequential optimizer utilizes sinusoidal properties to directly find local optima regarding a single-qubit gate. A recent method proposed sequential optimization of multi-parameter single-qubit gates in PQCs whose parameters are the rotation axes of quantum gates with fixed half-rotation angles. Here, unifying and extending the existing methods, we derive the maximum optimization of a single-qubit gate from the framework of matrix factorization. We perform numerical experiments demonstrating the efficacy of the framework.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We propose a new quantum algorithm based on analytically-maximum optimization of a single-qubit gate in parameterized quantum circuits (PQCs). Variational quantum algorithms on near-term quantum devices depend on the ability to optimize objective functions with hardware-efficient PQCs. Standard optimizations utilize single-parameter quantum gates in PQCs whose rotation angles along fixed axes are parametrized. The parameters are then updated by gradient or by sequential quantum optimization. A conventional sequential optimizer utilizes sinusoidal properties to directly find local optima regarding a single-qubit gate. A recent method proposed sequential optimization of multi-parameter single-qubit gates in PQCs whose parameters are the rotation axes of quantum gates with fixed half-rotation angles. Here, unifying and extending the existing methods, we derive the maximum optimization of a single-qubit gate from the framework of matrix factorization. We perform numerical experiments demonstrating the efficacy of the framework.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12894105
• 書誌情報: 研究報告量子ソフトウェア（QS）; 巻 2022-QS-7, 号 26, p. 1-8, 発行日 2022-10-20
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2435-6492
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会