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