A rigorous and robust quantum speed-up in supervised machine learning

5 October 2020

Papers citing "A rigorous and robust quantum speed-up in supervised machine learning"

50 / 193 papers shown

Title
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 30 0 0 02 May 2025
Quantum Doubly Stochastic Transformers Jannis Born Filip Skogh Kahn Rhrissorrakrai Filippo Utro Nico Wagner Aleksandros Sobczyk 27 0 0 22 Apr 2025
Automating quantum feature map design via large language models Kenya Sakka K. Mitarai Keisuke Fujii 33 2 0 10 Apr 2025
Certified randomness using a trapped-ion quantum processor Minzhao Liu Ruslan Shaydulin Pradeep Niroula Matthew DeCross S. Hung ... Shaltiel Eloul Peter Siegfried James Walker C. Lim Marco Pistoia 63 11 0 26 Mar 2025
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 42 0 0 21 Mar 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 61 0 0 20 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
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation Kangyu Zheng Tianfan Fu Zhiding Liang 34 0 0 02 Mar 2025
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification Xavier Vasques Hanhee Paik Laura Cif 44 18 0 10 Feb 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 38 0 0 07 Feb 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 84 0 0 16 Dec 2024
An unconditional distribution learning advantage with shallow quantum circuits N. Pirnay S. Jerbi J. -P. Seifert J. Eisert 78 1 0 23 Nov 2024
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 93 0 0 22 Nov 2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits Jun Qi Chao-Han Huck Yang Samuel Yen-Chi Chen Pin-Yu Chen Hector Zenil Jesper Tegner 26 0 0 13 Nov 2024
Few measurement shots challenge generalization in learning to classify entanglement L. Banchi Jason L. Pereira Marco Zamboni 23 0 0 10 Nov 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 29 0 0 05 Nov 2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization Nico Meyer Julian Berberich Christopher Mutschler Daniel D. Scherer 32 0 0 28 Oct 2024
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding John M. Willis AAML 19 0 0 21 Oct 2024
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference Jing Xiong Jianghan Shen Fanghua Ye Chaofan Tao Zhongwei Wan ... Xun Wu Chuanyang Zheng Zhijiang Guo Lingpeng Kong Ngai Wong 27 3 0 04 Oct 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 delegated and federated learning via quantum homomorphic encryption Weikang Li Dong-Ling Deng FedML 26 0 0 28 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 28 2 0 11 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 2024
Learning out-of-time-ordered correlators with classical kernel methods John Tanner Jason Pye Jingbo Wang 28 0 0 03 Sep 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting Abdallah Aaraba S. Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 16 0 0 21 Aug 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 36 0 0 12 Aug 2024
Quantum Supervised Learning A. Macaluso 43 3 0 24 Jul 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
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 30 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 35 2 0 05 Jul 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 2024
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance Xi-Ning Zhuang Zhao-Yun Chen Cheng Xue Xiao-Fan Xu Chao Wang Huan-Yu Liu Tai-ping Sun Yun-Jie Wang Yu-Chun Wu Guo-Ping Guo 23 1 0 03 Jun 2024
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 45 9 0 16 May 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
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem Xinbiao Wang Yuxuan Du Kecheng Liu Yong Luo Bo Du Dacheng Tao 30 1 0 12 May 2024
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises Zhihan Zhang Weiyuan Gong Weikang Li Dong-Ling Deng 24 8 0 01 May 2024
QUACK: Quantum Aligned Centroid Kernel Kilian Tscharke Sebastian Issel Pascal Debus 27 3 0 01 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 43 2 0 28 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
Paving the Way to Hybrid Quantum-Classical Scientific Workflows S. S. Cranganore Vincenzo De Maio Ivona Brandić Ewa Deelman AI4CE 19 6 0 16 Apr 2024
A Modified Depolarization Approach for Efficient Quantum Machine Learning Bikram Khanal Pablo Rivas 34 3 0 10 Apr 2024
Quantum Adversarial Learning for Kernel Methods Giuseppe Montalbano L. Banchi AAML 16 4 0 08 Apr 2024
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification Shengyao Wu Run-Ze Li Yanqi Song S. Qin Qiaoyan Wen Fei Gao 24 0 0 14 Mar 2024
Quantum Mixed-State Self-Attention Network Fu Chen Qinglin Zhao Li Feng Chuangtao Chen Yangbin Lin Jianhong Lin 34 5 0 05 Mar 2024
Quantum Theory and Application of Contextual Optimal Transport Nicola Mariella A. Akhriev F. Tacchino Christa Zoufal J. C. González-Espitia ... I. Tavernelli Stefan Woerner Marianna Rapsomaniki Sergiy Zhuk Jannis Born OT 43 3 0 22 Feb 2024
Trained quantum neural networks are Gaussian processes Filippo Girardi Giacomo De Palma 19 3 0 13 Feb 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 42 4 0 13 Feb 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 13 5 0 20 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 36 14 0 17 Jan 2024