Cite
@article{Luo2020yaojlextensible,
doi = {10.22331/q-2020-10-11-341},
url = {https://doi.org/10.22331/q-2020-10-11-341},
title = {Yao.jl: {E}xtensible, {E}fficient {F}ramework for {Q}uantum {A}lgorithm {D}esign},
author = {Luo, Xiu-Zhe and Liu, Jin-Guo and Zhang, Pan and Wang, Lei},
journal = {{Quantum}},
issn = {2521-327X},
publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
volume = {4},
pages = {341},
month = oct,
year = {2020}
}
Papers Citing Yao
2020
Efficient calculation of gradients in classical simulations of variational quantum algorithms, Tyson Jones, Julien Gacon, arXiv:2009.02823
Quantum adversarial machine learning, Si-Rui Lu, Lu-Ming Duan, and Dong-Ling Deng, Physical Review Research, 2(3), 033212
Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double, Vincent Paul Su, arXiv: 2009.04488
Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features, The Quingo Development Team, arXiv:2009.01686
Contracting Arbitrary Tensor Networks: General Approximate Algorithm and Applications in Graphical Models and Quantum Circuit Simulations, Feng Pan, Pengfei Zhou, Sujie Li and Pan Zhang, Phys. Rev. Lett. 125, 060503
Quantum Adversarial Machine Learning, Sirui Lu, Lu-Ming Duan and Dong-Ling Deng Phys. Rev. Research 2, 033212
Tropical Tensor Network for Ground States of Spin Glasses, Jin-Guo Liu, Lei Wang, Pan Zhang arXiv:2008.06888
Estimating the gradient and higher-order derivatives on quantum hardware, Andrea Mari, Thomas R. Bromley, Nathan Killoran, arXiv:2008.06517
Variational Quantum Eigensolver with Fewer Qubits, Jin-Guo Liu, Yi-Hong Zhang, Yuan Wan, Lei Wang. Phys. Rev. Research 1, 023025
Fast and stable determinant quantum Monte Carlo, Carsten Bauer, SciPost Phys. Core 2, 011
Probabilistic Nonunitary Gate in Imaginary Time Evolution, Tong Liu, Jin-Guo Liu, Lei Wang, and Heng Fan, arXiv:2006.09726
Non-Differentiable Learning of Quantum Circuit Born Machine with Genetic Algorithm, Alexei Kondratyev, SSRN 3569226
Differentiate Everything with a Reversible Programming Language, Jin-Guo Liu, and Taine Zhao, arXiv:2003.04617
2019
QDNN: DNN with Quantum Neural Network Layers, Chen Zhao and Xiao-Shan Gao arXiv:1912.12660
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits, Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang, Machine Learning: Science and Technology
Parameterized quantum circuits as machine learning models, Marcello Benedetti, Erika Lloyd, and Stefan Sack Quantum Science and Technology
Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing, Innes, Mike and Edelman, Alan and Fischer, Keno and Rackauckus, Chris and Saba, Elliot and Shah, Viral B and Tebbutt, Will arXiv:1907.07587
Learning and inference on generative adversarial quantum circuits, Jin-Feng Zeng, Yu-Feng Wu, Jin-Guo Liu, Lei Wang, and Jiang-Ping Hu, Phys. Rev. A 99, 052306