Power of data in quantum machine learning

3 November 2020

Hsin-Yuan Huang

Michael Broughton

Masoud Mohseni

Ryan Babbush

Sergio Boixo

Hartmut Neven

Jarrod R. McClean

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Papers citing "Power of data in quantum machine learning"

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Title
Predicting fermionic densities using a Projected Quantum Kernel method Francesco Perciavalle Francesco Plastina Michele Pisarra Nicola Lo Gullo 111 0 0 18 Apr 2025
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 50 0 0 27 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 73 2 0 07 Mar 2025
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 43 0 0 30 Sep 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection Nouhaila Innan Alberto Marchisio Mohamed Bennai Muhammad Shafique 50 11 0 03 Apr 2024
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Mohamed Bennai 60 26 0 16 Oct 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 40 18 0 22 Jan 2023
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 80 218 0 07 Jan 2021
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 60 540 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 46 500 0 19 Aug 2020
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 40 92 0 28 Jul 2020
Layerwise learning for quantum neural networks Andrea Skolik Jarrod R. McClean Masoud Mohseni Patrick van der Smagt Martin Leib 37 284 0 26 Jun 2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning Michael Broughton Guillaume Verdon Trevor McCourt Antonio J. Martinez Jae Hyeon Yoo ... Sergio Boixo Dave Bacon Alan K. Ho Hartmut Neven Masoud Mohseni VLM AI4CE 29 206 0 06 Mar 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 45 240 0 03 Mar 2020
Predicting Many Properties of a Quantum System from Very Few Measurements Hsin-Yuan Huang R. Kueng J. Preskill 36 1,092 0 18 Feb 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python Roman Novak Lechao Xiao Jiri Hron Jaehoon Lee Alexander A. Alemi Jascha Narain Sohl-Dickstein S. Schoenholz 50 227 0 05 Dec 2019
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 60 131 0 03 Nov 2019
Experimental kernel-based quantum machine learning in finite feature space Karol Bartkiewicz C. Gneiting A. Černoch K. Jiráková K. Lemr Franco Nori 79 72 0 10 Jun 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 159 915 0 26 Apr 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 188 3,160 0 20 Jun 2018
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 39 1,799 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 57 1,800 0 29 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm Hartmut Neven Vasil S. Denchev G. Rose W. Macready 60 80 0 04 Dec 2009