Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze

14 December 2021

Papers citing "Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze"

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 45 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 22 123 0 14 Dec 2023
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 14 83 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 20 88 0 16 Oct 2022
Active Learning on a Programmable Photonic Quantum Processor Chen Ding Xiao-Yue Xu Yun-Fei Niu Shuo Zhang Wansu Bao Heliang Huang 13 6 0 03 Aug 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 11 116 0 04 May 2022
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 39 26 0 12 Oct 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 63 211 0 07 Jan 2021