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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage
Manuel Rudolph, Jacob Miller, Jing Chen, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 13

Showing 13 citing articles:

Decomposition of matrix product states into shallow quantum circuits
Manuel S. Rudolph, Jing Chen, Jacob Miller, et al.
Quantum Science and Technology (2023) Vol. 9, Iss. 1, pp. 015012-015012
Open Access | Times Cited: 23
Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 22
Bee-yond the plateau: Training QNNs with swarm algorithms
Rubén Darío Guerrero
The Journal of Chemical Physics (2025) Vol. 162, Iss. 1
Closed Access
Exploring the Usability of Quantum Machine Learning for EEG Signal Classification
Devansh Singh, Yashasvi Kanathey, Yoginii Waykole, et al.
Communications in computer and information science (2024), pp. 427-438
Closed Access | Times Cited: 3
Symmetric tensor networks for generative modeling and constrained combinatorial optimization
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo‐Ortiz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035009-035009
Open Access | Times Cited: 8
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements
Kaitlin Gili, Guillermo Alonso, Maria Schuld
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Quantum Neural Estimation of Entropies
Ziv Goldfeld, Dhrumil Patel, Sreejith Sreekumar, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Entangled embedding variational quantum eigensolver with tensor network ansatz
Ryo Watanabe, Keisuke Fujii, Hiroshi Ueda
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Decomposition of Matrix Product States into Shallow Quantum Circuits
Alejandro Perdomo‐Ortiz, Manuel Rudolph, Jing Chen, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Tensor-network-assisted variational quantum algorithm
Junxiang Huang, Wenhao He, Yukun Zhang, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Continuous optimization by quantum adaptive distribution search
Kohei Morimoto, Yusuke Takase, Kosuke Mitarai, et al.
arXiv (Cornell University) (2023)
Open Access
Symmetric Tensor Networks for Generative Modeling and Constrained Combinatorial Optimization
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo‐Ortiz
arXiv (Cornell University) (2022)
Open Access
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