On quantum backpropagation, information reuse, and cheating measurement
collapse

On quantum backpropagation, information reuse, and cheating measurement collapse

22 May 2023

Hsin-Yuan Huang

Jarrod R. McClean

Papers citing "On quantum backpropagation, information reuse, and cheating measurement collapse"

8 / 8 papers shown

Title
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 48 1 0 26 Jun 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 25 123 0 14 Dec 2023
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems Lucas Tecot Cho-Jui Hsieh 6 0 0 14 Oct 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 28 1 0 16 Jul 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 21 3 0 01 Feb 2023
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 63 211 0 07 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 119 645 0 28 Jul 2020
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 243 1,476 0 30 Nov 2016