Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates

Expressibility is a crucial factor of a parameterized quantum circuit (PQC). In the context of variational-quantum-algorithm-based quantum machine learning (QML), a QML model composed of a highly expressible PQC and a sufficient number of qubits is theoretically capable of approximating any arbitrar...

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書誌詳細

出版年:	IEEE Transactions on Quantum Engineering
主要な著者:	Yu Liu, Kazuya Kaneko, Kentaro Baba, Jumpei Koyama, Koichi Kimura, Naoyuki Takeda
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Expressibility noisy intermediate-scale quantum (NISQ) parameterized quantum circuit (PQC) quantum machine learning (QML) variational quantum algorithms (VQAs)
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11006966/