Open Access Helper

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:

Gradient-Ascent Pulse Engineering with Feedback
Riccardo Porotti, Vittorio Peano, Florian Marquardt
PRX Quantum (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 21

Showing 21 citing articles:

Entanglement engineering of optomechanical systems by reinforcement learning
Lili Ye, Christian Arenz, Joseph M. Lukens, et al.
APL Machine Learning (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Non-Markovian Feedback for Optimized Quantum Error Correction
Matteo Puviani, Sangkha Borah, Remmy Zen, et al.
Physical Review Letters (2025) Vol. 134, Iss. 2
Open Access | Times Cited: 1
GRAPE optimization for open quantum systems with time-dependent decoherence rates driven by coherent and incoherent controls
Vadim N. Petruhanov, Alexander Pechen
Journal of Physics A Mathematical and Theoretical (2023) Vol. 56, Iss. 30, pp. 305303-305303
Open Access | Times Cited: 25
Introduction to theoretical and experimental aspects of quantum optimal control
Quentin Ansel, E Dionis, F Arrouas, et al.
Journal of Physics B Atomic Molecular and Optical Physics (2024) Vol. 57, Iss. 13, pp. 133001-133001
Open Access | Times Cited: 11
Variational Quantum Pulse Learning
Zhiding Liang, Hanrui Wang, Jinglei Cheng, et al.
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2022), pp. 556-565
Open Access | Times Cited: 28
Controlling NMR spin systems for quantum computation
Jonathan A. Jones
Progress in Nuclear Magnetic Resonance Spectroscopy (2024) Vol. 140-141, pp. 49-85
Open Access | Times Cited: 5
Supervised learning for robust quantum control in composite-pulse systems
Zhi‐Cheng Shi, Jun-Tong Ding, Ye‐Hong Chen, et al.
Physical Review Applied (2024) Vol. 21, Iss. 4
Closed Access | Times Cited: 5
Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network
Hector Hutin, Pavlo Bilous, C. Ye, et al.
PRX Quantum (2025) Vol. 6, Iss. 1
Open Access
Optimal Control in Large Open Quantum Systems: The Case of Transmon Readout and Reset
Ronan Gautier, Élie Genois, Alexandre Blais
Physical Review Letters (2025) Vol. 134, Iss. 7
Open Access
Stabilizing two-qubit entanglement with dynamically decoupled active feedback
Sacha Greenfield, Leigh S. Martin, Felix Motzoi, et al.
Physical Review Applied (2024) Vol. 21, Iss. 2
Open Access | Times Cited: 4
Applications of model-aware reinforcement learning in Bayesian quantum metrology
Federico Belliardo, Fabio Zoratti, Vittorio Giovannetti
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 6
Open Access | Times Cited: 3
Ultrafast control of laser-induced spin-dynamics scenarios on two-dimensional Ni3@C63H54 magnetic system
Mohamed Barhoumi, Jing Liu, Georgios Lefkidis, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 8
Open Access | Times Cited: 8
Determination of Molecular Ground State via Short Square Pulses on Superconducting Qubits
Noga Entin, Mor M. Roses, Reuven Cohen, et al.
Physical Review Letters (2024) Vol. 133, Iss. 24
Closed Access | Times Cited: 2
Amplitude-modulated mirror pulses for improved cold-atom gravimetry
Yida Wang, Jinshuo Cheng, Yujuan Liu, et al.
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 5
Closed Access | Times Cited: 1
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Federico Belliardo, Fabio Zoratti, Florian Marquardt, et al.
Quantum (2024) Vol. 8, pp. 1555-1555
Open Access | Times Cited: 1
Preparation of cavity-Fock-state superpositions by reinforcement learning exploiting measurement backaction
Arthur Perret, Yves Bérubé-Lauzière
Physical review. A/Physical review, A (2024) Vol. 109, Iss. 2
Open Access | Times Cited: 1
Continuous-Variable Quantum Computation in Circuit QED
Xiaozhou Pan, Pengtao Song, Yvonne Y. Gao
Chinese Physics Letters (2023) Vol. 40, Iss. 11, pp. 110303-110303
Closed Access | Times Cited: 2
Stabilizing two-qubit entanglement with dynamically decoupled active feedback
Sacha Greenfield, Leigh S. Martin, Felix Motzoi, et al.
arXiv (Cornell University) (2023)
Open Access
Supervised Learning for Robust Quantum Control in Composite-Pulse Systems
Zhi‐Cheng Shi, Jun-Tong Ding, Ye‐Hong Chen, et al.
arXiv (Cornell University) (2023)
Open Access
Feedback-Based Steering for Quantum State Preparation
Daniel Volya, Zhixin Pan, Prabhat Mishra
2022 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023), pp. 1308-1318
Closed Access
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Federico Belliardo, Fabio Zoratti, Florian Marquardt, et al.
arXiv (Cornell University) (2023)
Open Access
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