Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Variational Quantum Simulation: A Case Study for Understanding Warm Starts
Ricard Puig, Marc Drudis, Supanut Thanasilp, et al.
PRX Quantum (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 2
On fundamental aspects of quantum extreme learning machines
Weijie Xiong, Giorgio Facelli, Mehrad Sahebi, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Error-mitigated photonic quantum circuit Born machine
Alexia Salavrakos, Tigran Sedrakyan, J.K. Mills, et al.
Physical review. A/Physical review, A (2025) Vol. 111, Iss. 3
Open Access | Times Cited: 1
Equivalence of cost concentration and gradient vanishing for quantum circuits: an elementary proof in the Riemannian formulation
Qiang Miao, Thomas Barthel
Quantum Science and Technology (2024) Vol. 9, Iss. 4, pp. 045039-045039
Open Access | Times Cited: 5
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Mirjana Maksimović, Ivan S. Maksymov
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 1, pp. 12-12
Open Access
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang, et al.
Nature Reviews Physics (2025)
Closed Access
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
New Journal of Physics (2025) Vol. 27, Iss. 2, pp. 023015-023015
Open Access
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Quantum-Noise-driven Generative Diffusion Models
Marco Parigi, Stefano Martina, Filippo Caruso
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Trainability issues in quantum policy gradients
André Sequeira, Luís Santos, Lu­ís Soares Barbosa
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035037-035037
Open Access
Variational measurement-based quantum computation for generative modeling
Arunava Majumder, Marius Krumm, Tina Radkohl, et al.
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 6
Closed Access
On the Sample Complexity of Quantum Boltzmann Machine Learning
Luuk Coopmans, Marcello Benedetti
arXiv (Cornell University) (2023)
Open Access
Page 1

Scroll to top