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

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

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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 58 485 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 1,827 0 29 Mar 2018