Supervised quantum machine learning models are kernel methods

26 January 2021

Maria Schuld

Papers citing "Supervised quantum machine learning models are kernel methods"

50 / 135 papers shown

Title
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 44 0 0 02 May 2025
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 39 0 0 24 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 62 0 0 17 Apr 2025
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 52 0 0 21 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 65 2 0 07 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 57 0 0 17 Feb 2025
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification Xavier Vasques Hanhee Paik Laura Cif 57 18 0 10 Feb 2025
Quantum Deep Equilibrium Models Philipp Schleich Marta Skreta L. B. Kristensen Rodrigo A. Vargas-Hernández Alán Aspuru-Guzik 35 0 0 31 Oct 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 36 0 0 30 Sep 2024
Photonic Quantum Computers M. AbuGhanem 40 4 0 12 Sep 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 35 2 0 11 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 70 4 0 06 Sep 2024
Quantum Machine Learning for Anomaly Detection in Consumer Electronics Sounak Bhowmik Himanshu Thapliyal 19 3 0 30 Aug 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting Abdallah Aaraba Soumaya Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 37 1 0 21 Aug 2024
Distributed and Secure Kernel-Based Quantum Machine Learning Arjhun Swaminathan Mete Akgün 35 0 0 16 Aug 2024
Certifiably Robust Encoding Schemes Aman Saxena Tom Wollschlager Nicola Franco J. M. Lorenz Stephan Günnemann OOD AAML 49 1 0 02 Aug 2024
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning Michael Kölle Daniel Seidl Maximilian Zorn Philipp Altmann Jonas Stein Thomas Gabor 30 0 0 02 Aug 2024
Quantum Supervised Learning A. Macaluso 54 3 0 24 Jul 2024
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application Emine Akpinar Sardar M. N. Islam Murat Oduncuoglu 43 3 0 13 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 45 2 0 05 Jul 2024
Do Quantum Neural Networks have Simplicity Bias? Jessica Pointing AI4CE 38 2 0 03 Jul 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 39 5 0 04 Jun 2024
Quantum Visual Feature Encoding Revisited Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 46 9 0 30 May 2024
What is Quantum Parallelism, Anyhow? Stefano Markidis 21 3 0 12 May 2024
Quantum AI for Alzheimer's disease early screening Giacomo Cappiello Filippo Caruso 32 1 0 01 May 2024
QUACK: Quantum Aligned Centroid Kernel Kilian Tscharke Sebastian Issel Pascal Debus 40 3 0 01 May 2024
Machine Learning for Quantum Computing Specialists Daniel Charles Goldsmith M. M. H. Mahmud VLM 36 2 0 29 Apr 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 23 8 0 24 Apr 2024
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule Maniraman Periyasamy Axel Plinge Christopher Mutschler Daniel D. Scherer Wolfgang Mauerer 54 6 0 24 Apr 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 53 5 0 21 Mar 2024
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning Javier Mancilla André Sequeira Tomas Tagliani Francisco Llaneza Claudio Beiza 37 1 0 15 Mar 2024
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy Yusheng Zhao Hui Zhong Xinyue Zhang Yuqing Li Chi Zhang Miao Pan 42 3 0 14 Mar 2024
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 47 67 0 11 Mar 2024
Jet Discrimination with Quantum Complete Graph Neural Network Yi-An Chen Kai-Feng Chen GNN 31 1 0 08 Mar 2024
Quantum Mixed-State Self-Attention Network Fu Chen Qinglin Zhao Li Feng Chuangtao Chen Yangbin Lin Jianhong Lin 55 5 0 05 Mar 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 51 2 0 20 Feb 2024
Quantum Embedding with Transformer for High-dimensional Data Haotian Chen Yen-Jui Chang Shih-Wei Liao Ching-Ray Chang 21 1 0 20 Feb 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 44 4 0 08 Feb 2024
Geometric quantum machine learning of BQP $^A$ protocols and latent graph classifiers Chukwudubem Umeano V. Elfving Oleksandr Kyriienko 40 2 0 06 Feb 2024
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks Han-Xiao Tao Jiaqi Hu Re-Bing Wu 35 3 0 05 Feb 2024
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 39 40 0 20 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 36 3 0 04 Dec 2023
A novel feature selection method based on quantum support vector machine Haiyan Wang 40 9 0 29 Nov 2023
A Unified Framework for Trace-induced Quantum Kernels Beng Yee Gan Daniel Leykam Supanut Thanasilp 29 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 43 10 0 15 Nov 2023
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 30 8 0 18 Oct 2023
Learning unitaries with quantum statistical queries Armando Angrisani 41 6 0 03 Oct 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 40 18 0 25 Sep 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 42 12 0 20 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 44 12 0 20 Sep 2023