Learning to predict arbitrary quantum processes

26 October 2022

Papers citing "Learning to predict arbitrary quantum processes"

10 / 10 papers shown

Title
Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomness Chirag Wadhwa Mina Doosti 42 1 0 20 May 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 19 26 0 18 Jan 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
Learning Quantum Processes with Quantum Statistical Queries Chirag Wadhwa Mina Doosti 26 3 0 03 Oct 2023
Classical Verification of Quantum Learning Matthias C. Caro M. Hinsche M. Ioannou A. Nietner R. Sweke 15 5 0 08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 28 8 0 06 Jun 2023
The power and limitations of learning quantum dynamics incoherently Sofiene Jerbi Joe Gibbs Manuel S. Rudolph Matthias C. Caro Patrick J. Coles Hsin-Yuan Huang Zoë Holmes 13 14 0 22 Mar 2023
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 25 41 0 08 Dec 2022
Learning low-degree functions from a logarithmic number of random queries Alexandros Eskenazis P. Ivanisvili FedML 21 20 0 21 Sep 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 63 211 0 07 Jan 2021