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Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images

28 November 2024

Author Contacts:

daniel.basilewitsch@trumpf.com joao.bravo@iao.fraunhofer.de christian.tutschku@iao.fraunhofer.de frederick.struckmeier@trumpf.com

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Papers citing "Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images"

22 / 22 papers shown

Title
Quantum Convolutional Neural Networks are (Effectively) Classically Simulable Pablo Bermejo Paolo Braccia Manuel S. Rudolph Zoë Holmes L. Cincio M. Cerezo 34 36 0 22 Aug 2024
Do Quantum Neural Networks have Simplicity Bias? Jessica Pointing AI4CE 91 3 0 03 Jul 2024
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 73 76 0 11 Mar 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 68 134 0 14 Dec 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 54 14 0 20 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 64 11 0 15 Nov 2023
Let Quantum Neural Networks Choose Their Own Frequencies Ben Jaderberg Antonio A. Gentile Youssef Achari Berrada Elvira Shishenina V. Elfving 83 19 0 06 Sep 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 58 16 0 02 Jun 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 62 46 0 31 May 2023
Quantum machine learning for image classification Arsenii Senokosov Alexander Sedykh Asel Sagingalieva Basil Kyriacou A. Melnikov VLM 56 80 0 18 Apr 2023
Quantum-classical convolutional neural networks in radiological image classification A. Matic Maureen Monnet J. Lorenz B. Schachtner Thomas Messerer 73 35 0 26 Apr 2022
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 53 479 0 01 Dec 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers T. Hubregtsen David Wierichs Elies Gil-Fuster Peter-Jan H. S. Derks Paul K. Faehrmann Johannes Jakob Meyer 71 101 0 05 May 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 103 222 0 07 Jan 2021
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 100 2,521 0 16 Dec 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks Arthur Pesah M. Cerezo Samson Wang T. Volkoff A. Sornborger Patrick J. Coles 70 279 0 05 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 88 651 0 03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 85 542 0 05 Oct 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 70 518 0 19 Aug 2020
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 92 1,821 0 29 Mar 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 64 3,229 0 22 Mar 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014