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:

Compiler Optimization for Quantum Computing Using Reinforcement Learning
Nils Quetschlich, Lukas Burgholzer, Robert Wille
(2023)
Open Access | Times Cited: 17

Showing 17 citing articles:

Predicting Good Quantum Circuit Compilation Options
Nils Quetschlich, Lukas Burgholzer, Robert Wille
(2023)
Closed Access | Times Cited: 24

The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing
Robert Wille, Lucas Berent, Tobias Förster, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 6

A Comprehensive Review of Quantum Circuit Optimization: Current Trends and Future Directions
Krishnageetha Karuppasamy, Varun Puram, Stevens Johnson, et al.
Quantum Reports (2025) Vol. 7, Iss. 1, pp. 2-2
Open Access

Numbering and Generating Quantum Algorithms
M. A. El-Dosuky
Journal of Computer and Communications (2025) Vol. 13, Iss. 02, pp. 126-141
Open Access

Quantum circuit optimization with AlphaTensor
Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, et al.
Nature Machine Intelligence (2025)
Open Access

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
Nils Quetschlich, Lukas Burgholzer, Robert Wille
ACM Transactions on Quantum Computing (2024)
Open Access | Times Cited: 4

Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch, Jörg Lässig, Daniel Müssig, et al.
KI - Künstliche Intelligenz (2024) Vol. 38, Iss. 4, pp. 257-276
Open Access | Times Cited: 3

Swarm-intelligence-based quantum-inspired optimization techniques for enhancing algorithmic efficiency and empirical assessment
Ishaani Priyadarshini
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access | Times Cited: 2

A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem
Nils Quetschlich, Vincent Koch, Lukas Burgholzer, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 642-647
Open Access | Times Cited: 5

Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
Shamminuj Aktar, Andreas Baertschi, Abdel‐Hameed A. Badawy, et al.
(2024)
Open Access

Toward a Unified Hybrid HPCQC Toolchain
Philipp Seitz, Amr Elsharkawy, Xiao-Ting Michelle To, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 96-102
Open Access | Times Cited: 1

Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
Nils Quetschlich, Lukas Burgholzer, Robert Wille
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023)
Closed Access | Times Cited: 1

Noise Adaptive Quantum Circuit Mapping Using Reinforcement Learning and Graph Neural Network
Vedika Saravanan, Samah Mohamed Saeed
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2023) Vol. 43, Iss. 5, pp. 1374-1386
Closed Access | Times Cited: 1

Predicting Good Quantum Circuit Compilation Options
Nils Quetschlich, Lukas Burgholzer, Robert Wille
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2

Gequpi: Quantum Program Improvement with Multi-Objective Genetic Programming
Felix Gemeinhardt, Stefan Klikovits, Manuel Wimmer
(2023)
Closed Access

Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
Nils Quetschlich, Lukas Burgholzer, Robert Wille
arXiv (Cornell University) (2023)
Open Access

A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem
Nils Quetschlich, Vincent Koch, Lukas Burgholzer, et al.
arXiv (Cornell University) (2023)
Open Access

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