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Scrambling ability of quantum neural network architectures

Yadong Wu1, Pengfei Zhang2,3,*, and Hui Zhai1,†

  • 1Institute for Advanced Study, Tsinghua University, Beijing 100084, China
  • 2Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, California 91125, USA
  • 3Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA

  • *pengfeizhang.physics@gmail.com
  • †hzhai@tsinghua.edu.cn

Operator size distribution in large N quantum mechanics of Majorana fermions

Pengfei Zhang and Yingfei Gu

J. High Energ. Phys. 2023 18 (2023)

Barren plateaus from learning scramblers with local cost functions

Roy J. Garcia, Chen Zhao, Kaifeng Bu, and Arthur Jaffe

J. High Energ. Phys. 2023 90 (2023)

No title available

Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, and Weiwen Jiang

Fast decay of classification error in variational quantum circuits

Bingzhi Zhang and Quntao Zhuang

Quantum Sci. Technol. 7 035017 (2022)

Quantum information scrambling in quantum many-body scarred systems

Dong Yuan, Shun-Yao Zhang, Yu Wang, L.-M. Duan, and Dong-Ling Deng

Phys. Rev. Research 4 023095 (2022)

Variational quantum extreme learning machine

Yong Wang, Kuo-Yi Lin, Shuming Cheng, and Li Li

Neurocomputing 512 83 (2022)

No title available

Po-Han Ho, Yan-Tsung Peng, and Hsiu-Chuan Hsu

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