v1v2 (latest)

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

30 June 2022

Francesco Di Marcantonio

Massimiliano Incudini

Davide Tezza

Michele Grossi

ArXiv (abs)PDF HTML

Papers citing "Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning"

20 / 20 papers shown

Title
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 75 89 0 23 Aug 2022
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection Michele Grossi Noelle Ibrahim V. Radescu Robert Loredo Kirsten Voigt Constantin von Altrock Andreas Rudnik 38 47 0 16 Aug 2022
Bandwidth Enables Generalization in Quantum Kernel Models Abdulkadir Canatar E. Peters Cengiz Pehlevan Stefan M. Wild Ruslan Shaydulin 64 45 0 14 Jun 2022
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 48 37 0 12 Dec 2021
Quantum advantage in learning from experiments Hsin-Yuan Huang Michael Broughton Jordan S. Cotler Sitan Chen Jingkai Li ... Hartmut Neven Ryan Babbush R. Kueng J. Preskill Jarrod R. McClean 58 487 0 01 Dec 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 65 122 0 07 Jun 2021
Automatic design of quantum feature maps Sergio Altares-López Ángela Ribeiro J. J. García-Ripoll 33 50 0 26 May 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 116 75 0 31 Mar 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 216 432 0 06 Jan 2021
Effect of barren plateaus on gradient-free optimization A. Arrasmith M. Cerezo Piotr Czarnik L. Cincio Patrick J. Coles 97 215 0 24 Nov 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 116 655 0 03 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 121 765 0 30 Oct 2020
Entanglement Induced Barren Plateaus Carlos Ortiz Marrero M. Kieferová N. Wiebe 67 281 0 29 Oct 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 109 546 0 05 Oct 2020
Qibo: a framework for quantum simulation with hardware acceleration Stavros Efthymiou Sergi Ramos-Calderer Carlos Bravo-Prieto Adrián Pérez-Salinas Diego García-Martín A. García-Sáez J. Latorre Stefano Carrazza 42 110 0 03 Sep 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 278 667 0 28 Jul 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Experimental kernel-based quantum machine learning in finite feature space Karol Bartkiewicz C. Gneiting A. Černoch K. Jiráková K. Lemr Franco Nori 86 76 0 10 Jun 2019
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 86 1,836 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 103 1,828 0 29 Mar 2018