Supervised learning with quantum enhanced feature spaces

30 April 2018

Papers citing "Supervised learning with quantum enhanced feature spaces"

22 / 22 papers shown

Title
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 50 0 0 27 Mar 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 96 0 0 20 Mar 2025
A quantum annealing approach to graph node embedding Hristo N. Djidjev GNN 136 1 0 08 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
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 79 61 0 20 Feb 2025
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification Xavier Vasques Hanhee Paik Laura Cif 62 18 0 10 Feb 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 58 1 0 22 Jan 2025
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. F. Mridha Nilanjan Dey Zeyar Aung 83 0 0 03 Nov 2024
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
Learning out-of-time-ordered correlators with classical kernel methods John Tanner Jason Pye Jingbo Wang 63 0 0 03 Sep 2024
Distributed and Secure Kernel-Based Quantum Machine Learning Arjhun Swaminathan Mete Akgün 55 0 0 16 Aug 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 45 11 0 11 Jun 2024
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation Mohammad Junayed Hasan M.R.C. Mahdy 54 2 0 23 Nov 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Mohamed Bennai 53 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 35 18 0 22 Jan 2023
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning Hanrui Wang Zi-Chen Li Jiaqi Gu Yongshan Ding David Z. Pan Song Han 51 53 0 26 Feb 2022
Quantum machine learning: a classical perspective C. Ciliberto Mark Herbster Alessandro Davide Ialongo Massimiliano Pontil Andrea Rocchetto Simone Severini Leonard Wossnig AI4CE 40 433 0 26 Jul 2017
A Survey of Quantum Learning Theory Srinivasan Arunachalam Ronald de Wolf 30 71 0 24 Jan 2017
Classical verification of quantum circuits containing few basis changes T. Demarie Yingkai Ouyang J. Fitzsimons 20 14 0 15 Dec 2016
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 37 2,004 0 28 Nov 2016
An Introduction to Matrix Concentration Inequalities J. Tropp 70 1,139 0 07 Jan 2015
Quantum support vector machine for big data classification Patrick Rebentrost Masoud Mohseni S. Lloyd 45 599 0 01 Jul 2013