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
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 18 26 0 25 Jan 2023
Quantum anomaly detection in the latent space of proton collision events at the LHC Kinga Anna Wo'zniak Vasilis Belis E. Puljak Panagiotis Kl Barkoutsos Günther Dissertori Michele Grossi M. Pierini F. Reiter I. Tavernelli S. Vallecorsa 21 35 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 41 22 0 29 Dec 2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning Massimiliano Incudini Michele Grossi Antonio Mandarino S. Vallecorsa Alessandra Di Pierro David Windridge 33 6 0 22 Dec 2022
Quantum Kernel for Image Classification of Real World Manufacturing Defects D. Beaulieu D. Miracle Anh Pham William Scherr 13 5 0 16 Dec 2022
Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 29 19 0 13 Dec 2022
Breaking Rate-Distance Limitation of Measurement-Device-Independent Quantum Secret Sharing Chen-Long Li Yao Fu Wen-Bo Liu Yuan-Mei Xie Bing-Hong Li Min-Gang Zhou Hua‐Lei Yin Zeng-Bing Chen 11 17 0 10 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 13 21 0 10 Dec 2022
Numerical evidence against advantage with quantum fidelity kernels on classical data L. Slattery Ruslan Shaydulin Shouvanik Chakrabarti Marco Pistoia Sami Khairy Stefan M. Wild 14 17 0 29 Nov 2022
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture Han Zheng Christopher Kang Gokul Subramanian Ravi Hanrui Wang Kanav Setia Frederic T. Chong Junyu Liu 19 11 0 23 Nov 2022
An Advantage Using Feature Selection with a Quantum Annealer Andrew Vlasic Hunter Grant Salvatore Certo 9 5 0 17 Nov 2022
Efficient and quantum-adaptive machine learning with fermion neural networks Peikun Zheng Jia-Bao Wang Yi Zhang 20 3 0 10 Nov 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 34 52 0 07 Nov 2022
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 24 5 0 02 Nov 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 2022
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks Anupama Ray Sai Sakunthala Guddanti Vishnu Ajith Dhinakaran Vinayagamurthy 13 5 0 30 Oct 2022
A super-polynomial quantum-classical separation for density modelling Niklas Pirnay R. Sweke Jens Eisert Jean-Pierre Seifert 21 15 0 26 Oct 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 37 89 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 28 73 0 14 Oct 2022
Shot-frugal and Robust quantum kernel classifiers Abhay Shastry Abhijith Jayakumar Apoorva D. Patel Chiranjib Bhattacharyya 19 1 0 13 Oct 2022
A kernel-based quantum random forest for improved classification Maiyuren Srikumar C. Hill Lloyd C. L. Hollenberg 22 13 0 05 Oct 2022
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks Zhihao Zhang Zhuoming Chen Heyang Huang Zhihao Jia 36 2 0 02 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
Topological data analysis on noisy quantum computers I. Akhalwaya Shashanka Ubaru K. Clarkson M. Squillante Vishnu Jejjala Yangfan He Kugendran Naidoo Vasileios Kalantzis L. Horesh 21 13 0 19 Sep 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 21 76 0 23 Aug 2022
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection Michele Grossi Noelle Ibrahim V. Radescu Robert Loredo Kirsten Voigt Constantin von Altrock Andreas Rudnik 11 43 0 16 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 31 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 26 6 0 03 Aug 2022
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines Jonas Jäger R. Krems 19 66 0 12 Jul 2022
A single $T$ -gate makes distribution learning hard M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 25 16 0 07 Jul 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 27 9 0 01 Jul 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 61 13 0 30 Jun 2022
Variational Quantum Approximate Support Vector Machine with Inference Transfer Siheon Park D. Park J. Rhee 21 26 0 29 Jun 2022
Classical surrogates for quantum learning models Franz J. Schreiber Jens Eisert Johannes Jakob Meyer AI4CE 20 48 0 23 Jun 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 24 12 0 20 Jun 2022
Laziness, Barren Plateau, and Noise in Machine Learning Junyu Liu Zexi Lin Liang Jiang 35 21 0 19 Jun 2022
Concentration of Data Encoding in Parameterized Quantum Circuits Guangxi Li Ruilin Ye Xuanqiang Zhao Xin Wang 21 24 0 16 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models Abdulkadir Canatar E. Peters C. Pehlevan Stefan M. Wild Ruslan Shaydulin 37 42 0 14 Jun 2022
Quantum Neural Network Classifiers: A Tutorial Weikang Li Zhide Lu D. Deng 11 32 0 06 Jun 2022
Estimating the randomness of quantum circuit ensembles up to 50 qubits Minzhao Liu Junyu Liu Yuri Alexeev Liang Jiang 23 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 52 36 0 10 May 2022
Out-of-distribution generalization for learning quantum dynamics Matthias C. Caro Hsin-Yuan Huang Nic Ezzell Joe Gibbs A. Sornborger L. Cincio Patrick J. Coles Zoë Holmes OODD OOD 22 85 0 21 Apr 2022
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage Stefano Mensa E. Şahin F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 16 50 0 08 Apr 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 27 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