The DOI matches its OpenAlex record; 51 of the 51 references it cites were found in a registry or an index.
Quantum Generative Adversarial Networks for learning and loading random distributions
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Citations
Cites
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
The pricing of options and corporate liabilities
Black, F., & Scholes, M. (1973) · Journal of Political Economy · doi:10.1086/260062 · Cited by 29,074
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
Auto-Encoding Variational Bayes
Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.123 · Cited by 19,741
GAN（Generative Adversarial Nets）
(2017) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.29.5_177_2 · Cited by 19,270
Quantum Computation and Quantum Information: 10th Anniversary Edition
Nielsen, M. A., & Chuang, I. L. (2012) · doi:10.1017/cbo9780511976667 · Cited by 8,436
Monte Carlo Methods in Financial Engineering
Glasserman, P. (2003) · Stochastic Modelling and Applied Probability · doi:10.1007/978-0-387-21617-1 · Cited by 3,782
Quantum Algorithm for Linear Systems of Equations
Harrow, A. W., Hassidim, A., & Lloyd, S. (2009) · Physical Review Letters · doi:10.1103/physrevlett.103.150502 · Cited by 3,325
Barren plateaus in quantum neural network training landscapes
McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2018) · Nature Communications · doi:10.1038/s41467-018-07090-4 · Cited by 2,329
Cited by
Noisy intermediate-scale quantum algorithms
Bharti, K., Cervera-Lierta, A., Kyaw, T. H., Haug, T., Alperin-Lea, S., Anand, A., Degroote, M., Heimonen, H., Kottmann, J. S., Menke, T., et al. (2022) · Reviews of Modern Physics · doi:10.1103/revmodphys.94.015004 · Cited by 2,231
Solving nonlinear differential equations with differentiable quantum circuits
Kyriienko, O., Paine, A. E., & Elfving, V. E. (2021) · Physical Review A · doi:10.1103/physreva.103.052416 · Cited by 185
Solving nonlinear differential equations with differentiable quantum circuits
Kyriienko, O., Paine, A. E., & Elfving, V. E. (2020) · arXiv · doi:10.48550/arxiv.2011.10395 · Cited by 185
Harrow, A. W., & Napp, J. C. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.140502 · Cited by 121
Variational Quantum Boltzmann Machines
Zoufal, C., Lucchi, A., & Woerner, S. (2020) · arXiv · doi:10.48550/arxiv.2006.06004 · Cited by 99
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Metadata
- Authors
- Zoufal, C., Lucchi, A., & Woerner, S.
- Venue
- Repository for Publications and Research Data (ETH Zurich)
- Publisher
- ETH Zurich
- Published
- 2019-01-01
- OpenAlex
- W3100806676
- Cited by
- 359
- References
- 51
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- green
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- Zoufal, C., Lucchi, A., & Woerner, S. (2019). Quantum Generative Adversarial Networks for learning and loading random distributions. Repository for Publications and Research Data (ETH Zurich). https://doi.org/10.3929/ethz-b-000382432
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
