Better than classical? The subtle art of benchmarking quantum machine learning models

11 March 2024

Maria Schuld

Papers citing "Better than classical? The subtle art of benchmarking quantum machine learning models"

30 / 30 papers shown

Title
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 35 0 0 27 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
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection Farida Farsian Nicolò Parmiggiani Alessandro Rizzo Gabriele Panebianco Andrea Bulgarelli ... Giuseppe Murante Giuseppe Sarracino Roberto Scaramella Vincenzo Testa Tiziana Trombetti 59 0 0 28 Jan 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting Nikolaos Schetakis Paolo Bonfini Negin Alisoltani Konstantinos Blazakis Symeon I. Tsintzos Alexis Askitopoulos Davit Aghamalyan Panagiotis Fafoutellis Eleni I. Vlahogianni 41 0 0 22 Jan 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 38 1 0 22 Jan 2025
Regression and Classification with Single-Qubit Quantum Neural Networks Leandro C. Souza Bruno C. Guingo Gilson Giraldi Renato Portugal 82 1 0 12 Dec 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 37 0 0 11 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
AQMLator -- An Auto Quantum Machine Learning E-Platform Tomasz Rybotycki Piotr Gawron 26 1 0 26 Sep 2024
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components Peiyong Wang Casey. R. Myers Lloyd C. L. Hollenberg U. Parampalli 139 0 0 26 Sep 2024
The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs Ilmo Salmenperä Ilmars Kuhtarskis Arianne Meijer van de Griend Jukka K. Nurminen 19 0 0 20 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 28 1 0 18 Aug 2024
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches Y. Cordero S. Biswas F. Vilarino M. Bilkis VLM 34 0 0 08 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 35 2 0 05 Jul 2024
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design Juan E. Ardila-García Vladimir Vargas-Calderón Fabio A. González Diego H. Useche Herbert Vinck-Posada 35 1 0 12 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 36 7 0 10 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation Maja Franz Tobias Winker Sven Groppe Wolfgang Mauerer 20 2 0 13 May 2024
QUACK: Quantum Aligned Centroid Kernel Kilian Tscharke Sebastian Issel Pascal Debus 27 3 0 01 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 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 41 6 0 24 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 35 2 0 27 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
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
On quantum backpropagation, information reuse, and cheating measurement collapse Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 42 39 0 22 May 2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients Marco Wiedmann Marc Hölle Maniraman Periyasamy Nico Meyer Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler 73 18 0 27 Apr 2023
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 197 260 0 18 Apr 2021
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018