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 / 70 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
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
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification Xavier Vasques Hanhee Paik Laura Cif 39 18 0 10 Feb 2025
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 26 0 0 30 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 26 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 16 0 0 03 Sep 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
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
QUACK: Quantum Aligned Centroid Kernel Kilian Tscharke Sebastian Issel Pascal Debus 27 3 0 01 May 2024
A novel feature selection method based on quantum support vector machine Haiyan Wang 9 9 0 29 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
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 27 16 0 25 Sep 2023
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm Till Muser Elias Zapusek Vasilis Belis Florentin Reiter 28 5 0 25 Sep 2023
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS) Yifan Zhou Yew Kee Wong Yan Liang Haichuan Qiu Yu Wu Bin He 14 5 0 14 Aug 2023
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis Zhen Wen Yihan Liu Siwei Tan Jie Chen Minfeng Zhu Dongming Han Jianwei Yin Mingliang Xu Wei-Neng Chen GNN 38 13 0 18 Jul 2023
Higher-order topological kernels via quantum computation Massimiliano Incudini F. Martini Alessandra Di Pierro 14 1 0 14 Jul 2023
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era Leonardo Placidi Ryuichiro Hataya Toshio Mori Koki Aoyama Hayata Morisaki K. Mitarai Keisuke Fujii 21 8 0 29 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 40 8 0 06 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 32 66 0 31 May 2023
Variational Denoising for Variational Quantum Eigensolver Quoc-Hoan Tran Shinji Kikuchi H. Oshima 16 3 0 02 Apr 2023
Quantum Graph Learning: Frontiers and Outlook Shuo Yu Ciyuan Peng Yingbo Wang Ahsan Shehzad Feng Xia Edwin R. Hancock AI4CE 21 5 0 02 Feb 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation H. Yamasaki Sathyawageeswar Subramanian Satoshi Hayakawa Sho Sonoda MLT 30 4 0 27 Jan 2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection Julian Schuhmacher Laura Boggia Vasilis Belis E. Puljak Michele Grossi M. Pierini S. Vallecorsa F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 16 26 0 25 Jan 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 18 0 22 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 36 22 0 29 Dec 2022
Breaking universal limitations on quantum conference key agreement without quantum memory Chen-Long Li Yao Fu Wen-Bo Liu Yuan-Mei Xie Bing-Hong Li Min-Gang Zhou Hua‐Lei Yin Zeng-Bing Chen 11 21 0 10 Dec 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 8 4 0 02 Nov 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 26 73 0 14 Oct 2022
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach Daniel T. Chang 19 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
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 76 0 23 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 20 15 0 12 Aug 2022
Active Learning on a Programmable Photonic Quantum Processor Chen Ding Xiao-Yue Xu Yun-Fei Niu Shuo Zhang Wansu Bao Heliang Huang 13 6 0 03 Aug 2022
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines Jonas Jäger R. Krems 14 66 0 12 Jul 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 16 9 0 01 Jul 2022
Variational Quantum Approximate Support Vector Machine with Inference Transfer Siheon Park D. Park J. Rhee 11 26 0 29 Jun 2022
Classical surrogates for quantum learning models Franz J. Schreiber Jens Eisert Johannes Jakob Meyer AI4CE 14 48 0 23 Jun 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 19 12 0 20 Jun 2022
Estimating the randomness of quantum circuit ensembles up to 50 qubits Minzhao Liu Junyu Liu Yuri Alexeev Liang Jiang 16 8 0 19 May 2022
Quantum Self-Attention Neural Networks for Text Classification Guangxi Li Xuanqiang Zhao Xin Wang GNN 24 50 0 11 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 50 36 0 10 May 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 28 88 0 04 Apr 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 22 52 0 30 Mar 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 10 0 25 Mar 2022
Optimal quantum dataset for learning a unitary transformation Zhan Yu Xuanqiang Zhao Benchi Zhao Xin Wang 24 8 0 01 Mar 2022
The complexity of quantum support vector machines Gian Gentinetta Arne Thomsen David Sutter Stefan Woerner 37 40 0 28 Feb 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 11 50 0 17 Feb 2022