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Improving Variational Quantum Algorithms performance ...
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由 SA Stein 著作2022被引用 1 次 — The Variational Quantum Algorithm (VQAs), which adopts a classical optimizer to train a parameterized quantum circuit, stands out as one of the most promising ...
有關 Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. 的學術文章 | |
… quantum computing for variational quantum algorithms - Stein - 48 個引述 Variational quantum algorithms - Cerezo - 2889 個引述 Variational quantum algorithms - Arrasmith - 5 個引述 | |
Improving Variational Quantum Algorithms performance ...
IEEE Computer Society
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由 SA Stein 著作2022被引用 1 次 — Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. 2022, pp. 616-617,. DOI Bookmark: 10.1109/IPDPSW55747.2022.00105.
Improving Variational Quantum Algorithms performance ...
Inspire HEP
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Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles. Samuel Alexander Stein(. PNL, Richland. ) ,. Nathan Wiebe(. PNL ...
Improving Variational Quantum Algorithms performance ...
ResearchGate
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ResearchGate
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We analyze one-dimensional classical and quantum microscopic lattice-gas models governed by a lattice Boltzmann equation at the mesoscopic scale, achieved by ...
Improving Variational Quantum Algorithms performance ...
IEEE Xplore
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IEEE Xplore
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由 SA Stein 著作2022被引用 1 次 — Distributive VQA training on parallel NISQ backends to mitigate device-specific bias and accelerate overall training speed through dynamic quantum ensemble.
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Improving Variational Quantum Algorithms performance ...
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TL;DR: The Variational Quantum Algorithm (VQAs) as mentioned in this paper adopts a classical optimizer to train a parameterized quantum circuit, ...
Ensemble-learning error mitigation for variational quantum ...
American Physical Society
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American Physical Society
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由 Q Li 著作2024被引用 9 次 — We propose two ensemble-learning error mitigation methods, namely, bootstrap aggregating and adaptive boosting, which can significantly enhance the performance ...
Refining the weighted subspace-search variational ...
arXiv
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arXiv
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2024年8月13日 — The weighted subspace-search variational quantum eigensolver (SSVQE) is a prominent algorithm for calculating excited-state properties of ...
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Improving the Performance of Deep Quantum Optimization ...
ResearchGate
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ResearchGate
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2024年10月22日 — Here, we demonstrate an improvement of up to a factor of 3 in algorithmic performance for the quantum approximate optimization algorithm (QAOA) ...
Classical ensembles of single-qubit quantum variational ...
Springer
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Springer
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由 S McFarthing 著作2024被引用 1 次 — This work reports on the design, implementation, and evaluation of ensembles of single-qubit QAUM classifiers using classical bagging and boosting techniques.
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