Exponential Quantum Communication Advantage in Distributed Inference and
Learning

Exponential Quantum Communication Advantage in Distributed Inference and Learning

11 October 2023

Jarrod R. McClean

Papers citing "Exponential Quantum Communication Advantage in Distributed Inference and Learning"

16 / 16 papers shown

Title
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs Lukas Gonon A. Jacquier 59 13 0 24 Jul 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations H. Michaeli T. Michaeli Daniel Soudry 49 16 0 14 Mar 2023
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 180 1,936 0 29 Mar 2022
Pathways: Asynchronous Distributed Dataflow for ML P. Barham Aakanksha Chowdhery J. Dean Sanjay Ghemawat Steven Hand ... Parker Schuh Ryan Sepassi Laurent El Shafey C. A. Thekkath Yonghui Wu GNN MoE 98 129 0 23 Mar 2022
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 82 2,513 0 16 Dec 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 64 644 0 03 Nov 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 55 508 0 19 Aug 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 166 1,755 0 29 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 273 2,719 0 02 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 117 396 0 23 Apr 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 522 4,773 0 23 Jan 2020
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 210 7,623 0 01 Oct 2018
Online Learning of Quantum States S. Aaronson Xinyi Chen Elad Hazan Satyen Kale A. Nayak 39 91 0 25 Feb 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 448 15,179 0 07 Jun 2017
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 63 235 0 09 Aug 2015
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization Alekh Agarwal Peter L. Bartlett Pradeep Ravikumar Martin J. Wainwright 165 250 0 03 Sep 2010