
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:
Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, et al.
Science (2022) Vol. 377, Iss. 6613
Open Access | Times Cited: 174
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, et al.
Science (2022) Vol. 377, Iss. 6613
Open Access | Times Cited: 174
Showing 1-25 of 174 citing articles:
Quantum advantage in learning from experiments
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, et al.
Science (2022) Vol. 376, Iss. 6598, pp. 1182-1186
Open Access | Times Cited: 330
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, et al.
Science (2022) Vol. 376, Iss. 6598, pp. 1182-1186
Open Access | Times Cited: 330
Challenges and opportunities in quantum machine learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 9, pp. 567-576
Closed Access | Times Cited: 288
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 9, pp. 567-576
Closed Access | Times Cited: 288
Generalization in quantum machine learning from few training data
C. Matthias, Hsin-Yuan Huang, M. Cerezo, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 253
C. Matthias, Hsin-Yuan Huang, M. Cerezo, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 253
The randomized measurement toolbox
Andreas Elben, Steven T. Flammia, Hsin-Yuan Huang, et al.
Nature Reviews Physics (2022) Vol. 5, Iss. 1, pp. 9-24
Closed Access | Times Cited: 212
Andreas Elben, Steven T. Flammia, Hsin-Yuan Huang, et al.
Nature Reviews Physics (2022) Vol. 5, Iss. 1, pp. 9-24
Closed Access | Times Cited: 212
Avoiding Barren Plateaus Using Classical Shadows
Stefan Sack, Raimel Medina, Alexios A. Michailidis, et al.
PRX Quantum (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 93
Stefan Sack, Raimel Medina, Alexios A. Michailidis, et al.
PRX Quantum (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 93
Learning quantum systems
Valentin Gebhart, Raffaele Santagati, Antonio A. Gentile, et al.
Nature Reviews Physics (2023) Vol. 5, Iss. 3, pp. 141-156
Open Access | Times Cited: 80
Valentin Gebhart, Raffaele Santagati, Antonio A. Gentile, et al.
Nature Reviews Physics (2023) Vol. 5, Iss. 3, pp. 141-156
Open Access | Times Cited: 80
Classical shadow tomography with locally scrambled quantum dynamics
Hong-Ye Hu, Soonwon Choi, Yi‐Zhuang You
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 60
Hong-Ye Hu, Soonwon Choi, Yi‐Zhuang You
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 60
Quantum Computing for High-Energy Physics: State of the Art and Challenges
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 40
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, et al.
PRX Quantum (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 40
Theoretical guarantees for permutation-equivariant quantum neural networks
Louis Schatzki, Martín Larocca, Quynh T. Nguyen, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 37
Louis Schatzki, Martín Larocca, Quynh T. Nguyen, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 37
Theory for Equivariant Quantum Neural Networks
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
PRX Quantum (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 35
Kate Nguyen, Louis Schatzki, Paolo Braccia, et al.
PRX Quantum (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 35
Classical shadows for quantum process tomography on near-term quantum computers
Ryan Levy, Di Luo, Bryan K. Clark
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 28
Ryan Levy, Di Luo, Bryan K. Clark
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 28
Classical shadows with Pauli-invariant unitary ensembles
Kaifeng Bu, Dax Enshan Koh, Roy J. Garcia, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 27
Kaifeng Bu, Dax Enshan Koh, Roy J. Garcia, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 27
Improved machine learning algorithm for predicting ground state properties
L. H. Lewis, Hsin-Yuan Huang, Viet T. Tran, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22
L. H. Lewis, Hsin-Yuan Huang, Viet T. Tran, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22
Classical Shadow Tomography for Continuous Variables Quantum Systems
Simon Becker, Nilanjana Datta, Ludovico Lami, et al.
IEEE Transactions on Information Theory (2024) Vol. 70, Iss. 5, pp. 3427-3452
Open Access | Times Cited: 19
Simon Becker, Nilanjana Datta, Ludovico Lami, et al.
IEEE Transactions on Information Theory (2024) Vol. 70, Iss. 5, pp. 3427-3452
Open Access | Times Cited: 19
Quantum Error Mitigated Classical Shadows
Hamza Jnane, Jonathan Steinberg, Zhenyu Cai, et al.
PRX Quantum (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 19
Hamza Jnane, Jonathan Steinberg, Zhenyu Cai, et al.
PRX Quantum (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 19
On the practical usefulness of the Hardware Efficient Ansatz
Lorenzo Leone, Salvatore F. E. Oliviero, Łukasz Cincio, et al.
Quantum (2024) Vol. 8, pp. 1395-1395
Open Access | Times Cited: 19
Lorenzo Leone, Salvatore F. E. Oliviero, Łukasz Cincio, et al.
Quantum (2024) Vol. 8, pp. 1395-1395
Open Access | Times Cited: 19
Exponential Separations Between Learning With and Without Quantum Memory
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
(2022), pp. 574-585
Open Access | Times Cited: 50
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
(2022), pp. 574-585
Open Access | Times Cited: 50
Out-of-distribution generalization for learning quantum dynamics
C. Matthias, Hsin-Yuan Huang, Nicholas Ezzell, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
C. Matthias, Hsin-Yuan Huang, Nicholas Ezzell, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
Nonstabilizerness determining the hardness of direct fidelity estimation
Lorenzo Leone, Salvatore F. E. Oliviero, Alioscia Hamma
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 35
Lorenzo Leone, Salvatore F. E. Oliviero, Alioscia Hamma
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 35
Quantum machine learning of large datasets using randomized measurements
Tobias Haug, Chris N. Self, M. S. Kim
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015005-015005
Open Access | Times Cited: 31
Tobias Haug, Chris N. Self, M. S. Kim
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015005-015005
Open Access | Times Cited: 31
Quantum phase detection generalization from marginal quantum neural network models
Saverio Monaco, Oriel Kiss, Antonio Mandarino, et al.
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 8
Open Access | Times Cited: 31
Saverio Monaco, Oriel Kiss, Antonio Mandarino, et al.
Physical review. B./Physical review. B (2023) Vol. 107, Iss. 8
Open Access | Times Cited: 31
A survey on the complexity of learning quantum states
Anurag Anshu, Srinivasan Arunachalam
Nature Reviews Physics (2023) Vol. 6, Iss. 1, pp. 59-69
Closed Access | Times Cited: 28
Anurag Anshu, Srinivasan Arunachalam
Nature Reviews Physics (2023) Vol. 6, Iss. 1, pp. 59-69
Closed Access | Times Cited: 28
Operator Relaxation and the Optimal Depth of Classical Shadows
Matteo Ippoliti, Yaodong Li, Tibor Rakovszky, et al.
Physical Review Letters (2023) Vol. 130, Iss. 23
Open Access | Times Cited: 24
Matteo Ippoliti, Yaodong Li, Tibor Rakovszky, et al.
Physical Review Letters (2023) Vol. 130, Iss. 23
Open Access | Times Cited: 24
Quantum simulations in effective model spaces: Hamiltonian-learning variational quantum eigensolver using digital quantum computers and application to the Lipkin-Meshkov-Glick model
Caroline Robin, Martin J. Savage
Physical review. C (2023) Vol. 108, Iss. 2
Open Access | Times Cited: 22
Caroline Robin, Martin J. Savage
Physical review. C (2023) Vol. 108, Iss. 2
Open Access | Times Cited: 22