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Parameterized quantum circuits as machine learning models

Quantum Science and Technology (QST), 2019

18 June 2019

Papers citing "Parameterized quantum circuits as machine learning models"

50 / 281 papers shown

Title
Coreset selection can accelerate quantum machine learning models with provable generalizationPhysical Review Applied (Phys. Rev. Appl.), 2023 Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 211 6 0 19 Sep 2023
Let Quantum Neural Networks Choose Their Own Frequencies Ben Jaderberg Antonio A. Gentile Youssef Achari Berrada Elvira Shishenina V. Elfving 277 26 0 06 Sep 2023
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks Aakash Ravindra Shinde Charu Jain A. Kalev 200 3 0 04 Sep 2023
What can we learn from quantum convolutional neural networks?Advanced Quantum Technologies (AQT), 2023 Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 153 16 0 31 Aug 2023
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models Farina Riaz Shahab A. Abdulla Hajime Suzuki Srinjoy Ganguly R. Deo Susan Hopkins 109 1 0 22 Aug 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 292 1 0 16 Jul 2023
Understanding quantum machine learning also requires rethinking generalizationNature Communications (Nat. Commun.), 2023 Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 195 73 0 23 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric DataPhysical Review Research (Phys. Rev. Res.), 2023 Koki Chinzei Quoc Hoan Tran Kazunori Maruyama H. Oshima S. Sato 285 14 0 12 Jun 2023
Weight Re-Mapping for Variational Quantum AlgorithmsInternational Conference on Agents and Artificial Intelligence (ICAART), 2023 Michael Kölle Alessandro Giovagnoli Jonas Stein M. Mansky Julian Hager Tobias Rohe Robert Muller Claudia Linnhoff-Popien 49 5 0 09 Jun 2023
Reduction of finite sampling noise in quantum neural networksQuantum (Quantum), 2023 D. Kreplin Marco Roth 251 17 0 02 Jun 2023
Shadows of quantum machine learningNature Communications (Nat. Commun.), 2023 Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 243 66 0 31 May 2023
Improved Financial Forecasting via Quantum Machine LearningQuantum Machine Intelligence (QMI), 2023 Sohum Thakkar Skander Kazdaghli Natansh Mathur Iordanis Kerenidis A. J. Ferreira-Martins Samurai Brito QC Ware Corp AIFin 165 39 0 31 May 2023
On quantum backpropagation, information reuse, and cheating measurement collapseNeural Information Processing Systems (NeurIPS), 2023 Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 182 60 0 22 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh Hector Zenil Jesper Tegner 282 0 0 18 May 2023
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation PathwaysBMC Medical Imaging (BMC Med Imaging), 2023 Nam D. Nguyen 151 23 0 15 May 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement LearningInternational Conference on Quantum Computing and Engineering (QCE), 2023 Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 172 14 0 26 Apr 2023
Quantum Imitation LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Zhihao Cheng Kaining Zhang Li Shen Dacheng Tao 102 2 0 04 Apr 2023
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative ModelsCommunications Physics (Commun. Phys.), 2023 Mohamed Hibat-Allah M. Mauri Juan Carrasquilla A. Perdomo-Ortiz 163 10 0 27 Mar 2023
MAQA: A Quantum Framework for Supervised LearningQuantum Information Processing (QIP), 2023 A. Macaluso Matthias Klusch Stefano Lodi Claudio Sartori 84 8 0 20 Mar 2023
Hybrid quantum-classical convolutional neural network for phytoplankton classificationFrontiers in Marine Science (Front. Mar. Sci.), 2023 S. Shi Zhimin Wang R. Shang Yanan Li Jiaxin Li Guoqiang Zhong Yongjian Gu 163 9 0 07 Mar 2023
Parallel Hybrid Networks: an interplay between quantum and classical neural networksIntelligent Computing (IC), 2023 Mohammad Kordzanganeh Daria Kosichkina A. Melnikov GNN 168 30 0 06 Mar 2023
Quantum algorithms applied to satellite mission planning for Earth observationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023 S. Rainjonneau Igor Tokarev S. Iudin Saaketh Rayaprolu Karan Pinto ... Miras Koblan Egor Barashov Mohammad Kordzanganeh M. Pflitsch A. Melnikov 210 45 0 14 Feb 2023
Effects of noise on the overparametrization of quantum neural networksPhysical Review Research (Phys. Rev. Res.), 2023 Diego García-Martín Martín Larocca M. Cerezo 210 22 0 10 Feb 2023
Formalising and Learning a Quantum Model of Concepts Sean Tull R. A. Shaikh Sara Sabrina Zemljič Stephen Clark 138 2 0 07 Feb 2023
Quantum Recurrent Neural Networks for Sequential LearningNeural Networks (Neural Netw.), 2023 Yanan Li Zhimin Wang Rongbing Han S. Shi Jiaxin Li R. Shang Haiyong Zheng Guoqiang Zhong Yongjian Gu 237 48 0 07 Feb 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 176 3 0 01 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Xinjian Zhao Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 509 35 0 22 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class ClassificationPhysical Review Letters (PRL), 2022 Yuxuan Du Jianlong Wu Dacheng Tao Min-hsiu Hsieh 353 31 0 29 Dec 2022
Improving Convergence for Quantum Variational Classifiers using Weight Re-MappingInternational Conference on Agents and Artificial Intelligence (ICAART), 2022 Michael Kölle Alessandro Giovagnoli Jonas Stein M. Mansky Julian Hager Claudia Linnhoff-Popien 87 11 0 22 Dec 2022
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationIEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2022 S. Tsang Maxwell T. West S. Erfani Muhammad Usman GAN 229 63 0 22 Dec 2022
Quantum policy gradient algorithmsTheory of Quantum Computation, Communication, and Cryptography (TQC), 2022 Sofiene Jerbi A. Cornelissen M. Ozols Vedran Dunjko 108 16 0 19 Dec 2022
Quantum Policy Gradient Algorithm with Optimized Action DecodingInternational Conference on Machine Learning (ICML), 2022 Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 164 27 0 13 Dec 2022
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithmsAdvanced Quantum Technologies (AQT), 2022 Mohammad Kordzanganeh M. Buchberger Basil Kyriacou Maxim Povolotskii W. Fischer Andrii Kurkin Wilfrid Somogyi Asel Sagingalieva M. Pflitsch A. Melnikov 293 45 0 28 Nov 2022
Expressibility-Enhancing Strategies for Quantum Neural Networks Y. Liao Junpeng Zhan 181 6 0 23 Nov 2022
An Invitation to Distributed Quantum Neural NetworksQuantum Machine Intelligence (QMI), 2022 Lirande Pira C. Ferrie 130 25 0 14 Nov 2022
Differentiable Quantum Programming with Unbounded LoopsACM Transactions on Software Engineering and Methodology (TOSEM), 2022 Wang Fang Mingsheng Ying Xiaodi Wu 65 1 0 08 Nov 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 272 81 0 07 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 227 23 0 04 Nov 2022
eXplainable AI for Quantum Machine Learning Patrick Steinmüller Tobias Schulz Ferdinand Graf Daniel Herr 85 17 0 02 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum NoiseIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Jhih-Cing Huang Yu-Lin Tsai Chao-Han Huck Yang Cheng-Fang Su Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo AAML 233 23 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 130 5 0 30 Oct 2022
Differentiable Analog Quantum Computing for Optimization and ControlNeural Information Processing Systems (NeurIPS), 2022 Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 129 21 0 28 Oct 2022
Hierarchical quantum circuit representations for neural architecture searchnpj Quantum Information (NQI), 2022 Matt Lourens I. Sinayskiy D. Park Carsten Blank Francesco Petruccione 252 15 0 26 Oct 2022
A super-polynomial quantum-classical separation for density modelling Niklas Pirnay R. Sweke Jens Eisert Jean-Pierre Seifert 68 16 0 26 Oct 2022
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks Zhihao Zhang Zhuoming Chen Heyang Huang Zhihao Jia 147 3 0 02 Oct 2022
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach Daniel T. Chang 156 5 0 28 Sep 2022
Scalable Quantum Convolutional Neural Networks Hankyul Baek Won Joon Yun Joongheon Kim 241 8 0 26 Sep 2022
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence AnalysisIEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2022 Sharu Theresa Jose Osvaldo Simeone 118 15 0 23 Sep 2022
The role of entanglement for enhancing the efficiency of quantum kernels towards classification Dikshant Sharma Parvinder Singh Atul Kumar 123 16 0 12 Sep 2022
Classical-to-quantum convolutional neural network transfer learningNeurocomputing (Neurocomputing), 2022 Juhyeon Kim Joonsuk Huh D. Park 210 55 0 31 Aug 2022