Exponential concentration in quantum kernel methods

23 August 2022

Zoë Holmes

Papers citing "Exponential concentration in quantum kernel methods"

40 / 40 papers shown

Title
Role of scrambling and noise in temporal information processing with quantum systems Weijie Xiong Zoë Holmes Armando Angrisani Yudai Suzuki Thiparat Chotibut Supanut Thanasilp 14 1 0 15 May 2025
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 73 0 0 27 Apr 2025
Quantum Deep Sets and Sequences Vladimir Vargas-Calderón 30 0 0 03 Apr 2025
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 42 0 0 21 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 60 2 0 07 Mar 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 87 0 0 16 Dec 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 29 0 0 05 Nov 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 31 0 0 30 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 2024
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods Artur Miroszewski M. F. Asiani Jakub Mielczarek B. L. Saux Jakub Nalepa 37 3 0 22 Jul 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 41 20 0 15 Apr 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension Changwon Lee Israel F. Araujo Dongha Kim Junghan Lee Siheon Park Ju-Young Ryu Daniel K. Park 29 1 0 28 Mar 2024
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning Javier Mancilla André Sequeira Tomas Tagliani Francisco Llaneza Claudio Beiza 16 1 0 15 Mar 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 33 26 0 21 Jan 2024
Neural auto-designer for enhanced quantum kernels Cong Lei Yuxuan Du Peng Mi Jun-chen Yu Tongliang Liu 15 5 0 20 Jan 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training M. E. Sahin Benjamin C. B. Symons Pushpak Pati F. Minhas Declan Millar M. Gabrani J. Robertus Stefano Mensa 29 5 0 05 Jan 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 24 23 0 23 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 30 40 0 20 Dec 2023
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 43 128 0 14 Dec 2023
A Unified Framework for Trace-induced Quantum Kernels Beng Yee Gan Daniel Leykam Supanut Thanasilp 18 7 0 22 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 30 9 0 15 Nov 2023
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 51 3 0 13 Nov 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 43 1 0 19 Sep 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 17 3 0 20 Jul 2023
Higher-order topological kernels via quantum computation Massimiliano Incudini F. Martini Alessandra Di Pierro 14 1 0 14 Jul 2023
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images Artur Miroszewski Jakub Mielczarek Filip Szczepanek G. Czelusta B. Grabowski Bertrand Le Saux J. Nalepa 14 2 0 26 Jun 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization Frederic Rapp Marco Roth GP 11 19 0 25 Apr 2023
Quantum Kernel Alignment with Stochastic Gradient Descent Gian Gentinetta David Sutter Christa Zoufal Bryce Fuller Stefan Woerner 30 12 0 19 Apr 2023
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines Artur Miroszewski Jakub Mielczarek G. Czelusta Filip Szczepanek B. Grabowski Bertrand Le Saux J. Nalepa 29 17 0 16 Feb 2023
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 84 0 18 Oct 2022
Shot-frugal and Robust quantum kernel classifiers Abhay Shastry Abhijith Jayakumar Apoorva D. Patel Chiranjib Bhattacharyya 19 1 0 13 Oct 2022
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach Daniel T. Chang 25 4 0 28 Sep 2022
Automatic and effective discovery of quantum kernels Massimiliano Incudini Daniele Lizzio Bosco F. Martini Michele Grossi Giuseppe Serra Alessandra Di Pierro 31 4 0 22 Sep 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning Francesco Di Marcantonio Massimiliano Incudini Davide Tezza Michele Grossi 58 13 0 30 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models Abdulkadir Canatar E. Peters C. Pehlevan Stefan M. Wild Ruslan Shaydulin 34 42 0 14 Jun 2022
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 38 61 0 27 Oct 2021
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler H. Briegel Vedran Dunjko 14 159 0 25 Oct 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 32 26 0 12 Jul 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020