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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:

Neural-network quantum state tomography in a two-qubit experiment
Marcel Neugebauer, Laurin E. Fischer, Alexander Jäger, et al.
Physical review. A/Physical review, A (2020) Vol. 102, Iss. 4
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Artificial intelligence and machine learning for quantum technologies
Mario Krenn, Jonas Landgraf, Thomas Foesel, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 1
Open Access | Times Cited: 73
Autoregressive neural-network wavefunctions for ab initio quantum chemistry
Thomas D. Barrett, Aleksei Malyshev, A. I. Lvovsky
Nature Machine Intelligence (2022) Vol. 4, Iss. 4, pp. 351-358
Closed Access | Times Cited: 67
Classification and reconstruction of optical quantum states with deep neural networks
Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, et al.
Physical Review Research (2021) Vol. 3, Iss. 3
Open Access | Times Cited: 64
How To Use Neural Networks To Investigate Quantum Many-Body Physics
Juan Carrasquilla, Giacomo Torlai
PRX Quantum (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 59
Measurement-Based Feedback Quantum Control with Deep Reinforcement Learning for a Double-Well Nonlinear Potential
Sangkha Borah, Bijita Sarma, Michael J. Kewming, et al.
Physical Review Letters (2021) Vol. 127, Iss. 19
Open Access | Times Cited: 57
Efficient quantum state tomography with convolutional neural networks
Tobias Schmale, Moritz Reh, Martin Gärttner
npj Quantum Information (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 43
Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space
Laurin E. Fischer, Daniel Miller, Francesco Tacchino, et al.
Physical Review Research (2022) Vol. 4, Iss. 3
Open Access | Times Cited: 38
Variational Monte Carlo with large patched transformers
Kyle Sprague, Stefanie Czischek
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Time-Dependent Variational Principle for Open Quantum Systems with Artificial Neural Networks
Moritz Reh, Markus Schmitt, Martin Gärttner
Physical Review Letters (2021) Vol. 127, Iss. 23
Open Access | Times Cited: 49
Calibration of Multiparameter Sensors via Machine Learning at the Single-Photon Level
Valeria Cimini, Emanuele Polino, Mauro Valeri, et al.
Physical Review Applied (2021) Vol. 15, Iss. 4
Open Access | Times Cited: 44
Hamiltonian-driven shadow tomography of quantum states
Hong-Ye Hu, Yi‐Zhuang You
Physical Review Research (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 33
Gradient-Descent Quantum Process Tomography by Learning Kraus Operators
Shahnawaz Ahmed, Fernando Quijandría, Anton Frisk Kockum
Physical Review Letters (2023) Vol. 130, Iss. 15
Open Access | Times Cited: 18
Mitigated barren plateaus in the time-nonlocal optimization of analog quantum-algorithm protocols
Lukas Broers, Ludwig Mathey
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 6
From Architectures to Applications: A Review of Neural Quantum States
Hannah Lange, Anka Van de Walle, Atiye Abedinnia, et al.
Quantum Science and Technology (2024) Vol. 9, Iss. 4, pp. 040501-040501
Open Access | Times Cited: 6
Artificial Intelligence in Classical and Quantum Photonics
Federico Vernuccio, Arianna Bresci, Valeria Cimini, et al.
Laser & Photonics Review (2022) Vol. 16, Iss. 5
Open Access | Times Cited: 26
Machine learning the Kondo entanglement cloud from local measurements
Faluke Aikebaier, Teemu Ojanen, José L. Lado
Physical review. B./Physical review. B (2024) Vol. 109, Iss. 19
Open Access | Times Cited: 5
Empirical Sample Complexity of Neural Network Mixed State Reconstruction
Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini
Quantum (2024) Vol. 8, pp. 1358-1358
Open Access | Times Cited: 5
Exponentially improved efficient machine learning for quantum many-body states with provable guarantees
Yanming Che, Clemens Gneiting, Franco Nori
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 5
Data-enhanced variational Monte Carlo simulations for Rydberg atom arrays
Stefanie Czischek, M. Schuyler Moss, Matthew Radzihovsky, et al.
Physical review. B./Physical review. B (2022) Vol. 105, Iss. 20
Open Access | Times Cited: 17
Operationally meaningful representations of physical systems in neural networks
Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045025-045025
Open Access | Times Cited: 16
Linear-depth quantum circuits for loading Fourier approximations of arbitrary functions
Mudassir Moosa, Thomas W. Watts, Yiyou Chen, et al.
Quantum Science and Technology (2023) Vol. 9, Iss. 1, pp. 015002-015002
Open Access | Times Cited: 10
Observing Schrödinger’s cat with artificial intelligence: emergent classicality from information bottleneck
Zhelun Zhang, Yi‐Zhuang You
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015051-015051
Open Access | Times Cited: 3
Efficient learning of mixed-state tomography for photonic quantum walk
Qin-Qin Wang, Shaojun Dong, Xiao-Wei Li, et al.
Science Advances (2024) Vol. 10, Iss. 11
Open Access | Times Cited: 3
On the Experimental Feasibility of Quantum State Reconstruction via Machine Learning
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, et al.
IEEE Transactions on Quantum Engineering (2021) Vol. 2, pp. 1-10
Open Access | Times Cited: 22
A superconducting adiabatic neuron in a quantum regime
M. V. Bastrakova, D. S. Pashin, Dmitriy A Rybin, et al.
Beilstein Journal of Nanotechnology (2022) Vol. 13, pp. 653-665
Open Access | Times Cited: 15
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