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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:

Graph neural network initialisation of quantum approximate optimisation
Nishant Jain, Brian Coyle, Elham Kashefi, et al.
Quantum (2022) Vol. 6, pp. 861-861
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A review on Quantum Approximate Optimization Algorithm and its variants
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
Physics Reports (2024) Vol. 1068, pp. 1-66
Open Access | Times Cited: 77
Hamiltonian variational ansatz without barren plateaus
Chae-Yeun Park, Nathan Killoran
Quantum (2024) Vol. 8, pp. 1239-1239
Open Access | Times Cited: 24
An expressive ansatz for low-depth quantum approximate optimisation
V Vijendran, Aritra Das, Dax Enshan Koh, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 2, pp. 025010-025010
Open Access | Times Cited: 12
Quantum approximate optimization via learning-based adaptive optimization
Lixue Cheng, Yuqin Chen, Shi‐Xin Zhang, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
A hybrid quantum computing pipeline for real world drug discovery
Weitang Li, Zhi Yin, Xiaoran Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Enhancing quantum approximate optimization with CNN-CVaR integration
Pengnian Cai, Kang Shen, Tao Yang, et al.
Quantum Information Processing (2025) Vol. 24, Iss. 2
Closed Access
Circuit implementation and analysis of a quantum-walk based search complement algorithm
Allan Wing-Bocanegra, Carlos Efrain Quintero-Narvaez, Salvador E. Venegas-Andraca
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Classical and Quantum Computing modalities - A Review
Rajni
Journal of Condensed Matter (2025) Vol. 2, Iss. 02, pp. 1-5
Closed Access
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement
Stefan Sack, Raimel Medina, Richard Kueng, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 6
Open Access | Times Cited: 11
Neural-network-encoded variational quantum algorithms
Jiaqi Miao, Chang‐Yu Hsieh, Shi‐Xin Zhang
Physical Review Applied (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 3
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
Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization
Lixue Cheng, Yuqin Chen, Shi‐Xin Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Bayesian learning of parameterised quantum circuits
Samuel Duffield, Marcello Benedetti, Matthias Rosenkranz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025007-025007
Open Access | Times Cited: 6
The Future of Drug Development with Quantum Computing
Bhushan Bonde, Pratik Patil, Bhaskar Choubey
Methods in molecular biology (2023), pp. 153-179
Closed Access | Times Cited: 6
Red-QAOA: Efficient Variational Optimization through Circuit Reduction
Meng Wang, Bo Fang, Ang Li, et al.
(2024), pp. 980-998
Closed Access | Times Cited: 1
Iteration-Free quantum approximate optimization algorithm using neural networks
Ohad Amosy, Tamuz Danzig, Ohad Lev, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
Quantum algorithms for scientific computing
Rhonda Au-Yeung, Bruno Camino, Omer Rathore, et al.
Reports on Progress in Physics (2024) Vol. 87, Iss. 11, pp. 116001-116001
Open Access | Times Cited: 1
Scaling whole-chip QAOA for higher-order ising spin glass models on heavy-hex graphs
Elijah Pelofske, Andreas Bärtschi, Łukasz Cincio, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
Zhiding Liang, Gang Liu, Zheyuan Liu, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
A Review on Quantum Approximate Optimization Algorithm and its Variants
Kostas Blekos, Dean Brand, Andrea Ceschini, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Capturing Symmetries of Quantum Optimization Algorithms Using Graph Neural Networks
Ajinkya Deshpande, Alexey Melnikov
Symmetry (2022) Vol. 14, Iss. 12, pp. 2593-2593
Open Access | Times Cited: 6
Hamiltonian variational ansatz without barren plateaus
Chae-Yeun Park, Nathan Killoran
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Hybrid QAOA and Genetic Algorithm for Solving Max-Cut Problem
Huy Ha, Anh Son Ta
Research Square (Research Square) (2023)
Closed Access | Times Cited: 2
Neural network encoded variational quantum algorithms
Jiaqi Miao, Chang-Yu Hsieh, Shi‐Xin Zhang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
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