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
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 23 12 0 31 Aug 2023
QKSAN: A Quantum Kernel Self-Attention Network Ren-Xin Zhao Jinjing Shi Xuelong Li 28 19 0 25 Aug 2023
Several fitness functions and entanglement gates in quantum kernel generation Haiyan Wang 14 3 0 22 Aug 2023
On Neural Quantum Support Vector Machines Lars Simon Manuel Radons 19 0 0 16 Aug 2023
Neural Networks for Programming Quantum Annealers Samuel Bosch B. Kiani Rui-Yuan Yang A. Lupascu S. Lloyd 22 2 0 13 Aug 2023
A Conceptual Architecture for a Quantum-HPC Middleware Nishant Saurabh S. Jha André Luckow 17 21 0 12 Aug 2023
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel Kilian Tscharke Sebastian Issel Pascal Debus 20 8 0 01 Aug 2023
Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data Jishnu Mahmud Raisa Mashtura S. Fattah Mohammad Saquib 12 7 0 20 Jul 2023
A unifying framework for differentially private quantum algorithms Armando Angrisani Mina Doosti E. Kashefi FedML 30 9 0 10 Jul 2023
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
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 16 53 0 22 Jun 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 18 41 0 31 May 2023
Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning P. Santi K. Mishra Sibabrata Mohanty VLM 16 1 0 22 May 2023
Enhancing Quantum Support Vector Machines through Variational Kernel Training Nouhaila Innan Muhammed Al-Zafar Khan Biswaranjan Panda Mohamed Bennai VLM 19 26 0 10 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization Frederic Rapp Marco Roth GP 11 19 0 25 Apr 2023
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems Haotian Chen Yen-Jui Chang Shih-Wei Liao Ching-Ray Chang 11 6 0 20 Apr 2023
Exponentially Improved Efficient and Accurate Machine Learning for Quantum Many-body States with Provable Guarantees Yanming Che C. Gneiting Franco Nori 29 6 0 10 Apr 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 404 0 16 Mar 2023
Quantum Recurrent Neural Networks for Sequential Learning Yanan Li Zhimin Wang Rongbing Han S. Shi Jiaxin Li R. Shang Haiyong Zheng Guoqiang Zhong Yongjian Gu 21 27 0 07 Feb 2023
Hybrid Genetic Optimisation for Quantum Feature Map Design Rowan Pellow-Jarman A. Pillay I. Sinayskiy Francesco Petruccione 6 1 0 06 Feb 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
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 38 14 0 17 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 32 3 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
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 35 1 0 14 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
An exponentially-growing family of universal quantum circuits Mohammad Kordzanganeh P. Sekatski Leonid Fedichkin A. Melnikov 27 20 0 01 Dec 2022
Expressibility-Enhancing Strategies for Quantum Neural Networks Y. Liao Junpeng Zhan 23 6 0 23 Nov 2022
Photonic Quantum Computing For Polymer Classification A. Stoyanova Taha Hammadia Arno Ricou Bogdan Penkovsky 19 1 0 22 Nov 2022
A Quantum-Powered Photorealistic Rendering Yuanfu Yang Min Sun AI4CE 18 0 0 07 Nov 2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition Chao-Han Huck Yang Bo-wen Li Yu Zhang Nanxin Chen Tara N. Sainath Sabato Marco Siniscalchi Chin-Hui Lee 24 6 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
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
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach Daniel T. Chang 25 4 0 28 Sep 2022
The role of entanglement for enhancing the efficiency of quantum kernels towards classification Dikshant Sharma Parvinder Singh Atul Kumar 17 15 0 12 Sep 2022
A multiclass Q-NLP sentiment analysis experiment using DisCoCat Víctor R. Martínez Guilhaume Leroy-Meline 11 5 0 07 Sep 2022
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 29 17 0 28 Aug 2022
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images Sergio Altares-López J. J. García-Ripoll Ángela Ribeiro 21 15 0 28 Aug 2022
Quantum Bayesian Computation Maria Nareklishvili Vadim Sokolov Jianeng Xu 32 2 0 17 Aug 2022
Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning Yuanfu Yang Min Sun 23 47 0 06 Aug 2022
Slimmable Quantum Federated Learning Won Joon Yun Jae Pyoung Kim Soyi Jung Jihong Park M. Bennis Joongheon Kim 15 27 0 20 Jul 2022
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines Jonas Jäger R. Krems 19 66 0 12 Jul 2022
Variational Quantum Approximate Support Vector Machine with Inference Transfer Siheon Park D. Park J. Rhee 19 26 0 29 Jun 2022
Quantum-machine-learning channel discrimination A. Kardashin A. Vlasova A. Pervishko D. Yudin Jacob Biamonte 11 6 0 20 Jun 2022
Concentration of Data Encoding in Parameterized Quantum Circuits Guangxi Li Ruilin Ye Xuanqiang Zhao Xin Wang 21 24 0 16 Jun 2022
Quantum computing overview: discrete vs. continuous variable models Sophie Choe 18 4 0 15 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