Power of data in quantum machine learning

3 November 2020

Hsin-Yuan Huang

Michael Broughton

Masoud Mohseni

Ryan Babbush

Sergio Boixo

Hartmut Neven

Jarrod R. McClean

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Papers citing "Power of data in quantum machine learning"

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Title
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting Chen-Yu Liu Kuan-Cheng Chen Yi-Chien Chen Samuel Yen-Chi Chen Wei-Hao Huang Wei-Jia Huang Yen-Jui Chang 19 0 0 14 May 2025
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing Kuan-Cheng Chen Chen-Yu Liu Yu Shang Felix Burt Kin K Leung 39 0 0 13 May 2025
Quantum QSAR for drug discovery Alejandro Giraldo Daniel Ruiz Mariano Caruso Guido Bellomo 19 0 0 06 May 2025
Quantum Doubly Stochastic Transformers Jannis Born Filip Skogh Kahn Rhrissorrakrai Filippo Utro Nico Wagner Aleksandros Sobczyk 27 0 0 22 Apr 2025
Predicting fermionic densities using a Projected Quantum Kernel method Francesco Perciavalle Francesco Plastina Michele Pisarra Nicola Lo Gullo 27 0 0 18 Apr 2025
Automating quantum feature map design via large language models Kenya Sakka K. Mitarai Keisuke Fujii 31 2 0 10 Apr 2025
Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance Minati Rath Hema Date 25 0 0 09 Apr 2025
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 35 0 0 27 Mar 2025
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 42 0 0 21 Mar 2025
Blockchain with proof of quantum work M. Amin Jack Raymond Daniel Kinn Firas Hamze Kelsey Hamer Joel Pasvolsky William Bernoudy Andrew D. King Samuel Kortas 57 0 0 18 Mar 2025
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification Rajiv Krishnakumar Julien Baglio Frederik F. Flöther Christian Ruiz Stefan Habringer Nicole H. Romano MedIm 44 0 0 13 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
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 82 0 0 16 Dec 2024
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting Yu-Chao Hsu Nan-Yow Chen Tai-Yu Li Po-Heng Lee Kuan-Cheng Chen 60 5 0 12 Dec 2024
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning Kuan-Cheng Chen Samuel Yen-Chi Chen Chen-Yu Liu Kin K Leung 65 5 0 12 Dec 2024
Quantum Kernel-Based Long Short-term Memory Yu-Chao Hsu Tai-Yu Li Kuan-Cheng Chen VLM 70 7 0 20 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
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages Xi He Feiyu Du Xiaohan Yu Yang Zhao Tao Lei 20 0 0 04 Nov 2024
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection Chu-Hsuan Abraham Lin Chen-Yu Liu Samuel Yen-Chi Chen Kuan-Cheng Chen 24 8 0 11 Oct 2024
Applying Quantum Autoencoders for Time Series Anomaly Detection Robin Frehner Kurt Stockinger AI4TS 22 0 0 05 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification Jinjing Shi Tian Chen Shichao Zhang Xuelong Li FedML 33 0 0 03 Oct 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 28 0 0 30 Sep 2024
Scalable quantum dynamics compilation via quantum machine learning Yuxuan Zhang R. Wiersema Juan Carrasquilla Lukasz Cincio Yong Baek Kim 32 2 0 24 Sep 2024
IBM Quantum Computers: Evolution, Performance, and Future Directions M. AbuGhanem 26 6 0 17 Sep 2024
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML Siddhant Dutta Pavana P Karanth Pedro Maciel Xavier Iago Leal de Freitas Nouhaila Innan Sadok Ben Yahia Muhammad Shafique David E. Bernal Neira FedML 38 7 0 14 Sep 2024
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Li Cheng-Yu Chen 24 7 0 13 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
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition Kuan-Cheng Chen Wenxuan Ma Xiaotian Xu 38 7 0 09 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 2024
Concept learning of parameterized quantum models from limited measurements Beng Yee Gan Po-Wei Huang Elies Gil-Fuster P. Rebentrost 40 1 0 09 Aug 2024
A Scalable Quantum Non-local Neural Network for Image Classification Sparsh Gupta Debanjan Konar Vaneet Aggarwal 30 0 0 26 Jul 2024
Quantum Supervised Learning A. Macaluso 41 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 34 3 0 22 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 32 2 0 05 Jul 2024
Do Quantum Neural Networks have Simplicity Bias? Jessica Pointing AI4CE 26 2 0 03 Jul 2024
Quantum Compiling with Reinforcement Learning on a Superconducting Processor Z. T. Wang Qiuhao Chen Yuxuan Du Z. H. Yang Xiaoxia Cai ... Huikai Xu Yirong Jin Ruixia Wang Haifeng Yu S. P. Zhao 33 1 0 18 Jun 2024
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset Alona Sakhnenko Julian Sikora J. M. Lorenz 33 0 0 10 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 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
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation Maja Franz Tobias Winker Sven Groppe Wolfgang Mauerer 18 2 0 13 May 2024
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare A. Bhatia David E. Bernal Neira FedML 39 7 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 27 1 0 12 May 2024
Hybrid Quantum Graph Neural Network for Molecular Property Prediction Michael Vitz Hamed Mohammadbagherpoor Samarth Sandeep Andrew Vlasic Richard Padbury Anh Pham AI4CE 23 1 0 08 May 2024
Quantum Machine Learning: Quantum Kernel Methods S. Naguleswaran 16 1 0 02 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
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 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