Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs

24 July 2023

Papers citing "Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs"

6 / 6 papers shown

Title
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks Guglielmo Gattiglio Lyudmila Grigoryeva M. Tamborrino 39 1 0 09 Nov 2024
Coherence influx is indispensable for quantum reservoir computing Shumpei Kobayashi Quoc Hoan Tran Kohei Nakajima 18 2 0 19 Sep 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 34 23 0 23 Dec 2023
Unsupervised Random Quantum Networks for PDEs Josh Dees Antoine Jacquier Sylvain Laizet 24 2 0 21 Dec 2023
Exponential Quantum Communication Advantage in Distributed Inference and Learning H. Michaeli D. Gilboa Daniel Soudry Jarrod R. McClean FedML 19 0 0 11 Oct 2023
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 41 103 0 18 Oct 2021