Theory of overparametrization in quantum neural networks

23 September 2021

Papers citing "Theory of overparametrization in quantum neural networks"

50 / 75 papers shown

Title
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 40 0 0 21 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 44 60 0 20 Feb 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 43 0 0 17 Feb 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 33 1 0 22 Jan 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 82 0 0 16 Dec 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. Mridha Nilanjan Dey 46 1 0 03 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. Mridha Nilanjan Dey Zeyar Aung 54 0 0 03 Nov 2024
Quantum-data-driven dynamical transition in quantum learning Bingzhi Zhang Junyu Liu Liang Jiang Quntao Zhuang 24 1 0 02 Oct 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 26 0 0 27 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 34 2 0 22 Aug 2024
Bee-yond the Plateau: Training QNNs with Swarm Algorithms Rubén Darío Guerrero 17 0 0 16 Aug 2024
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification Md Abrar Jahin M. F. Mridha Zeyar Aung Nilanjan Dey R. Sherratt 16 1 0 09 Jul 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 48 1 0 26 Jun 2024
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 29 4 0 27 May 2024
Architectures and random properties of symplectic quantum circuits Diego García-Martín Paolo Braccia M. Cerezo 34 6 0 16 May 2024
Prospects of Privacy Advantage in Quantum Machine Learning Jamie Heredge Niraj Kumar Dylan Herman Shouvanik Chakrabarti Romina Yalovetzky Shree Hari Sureshbabu Changhao Li Marco Pistoia 21 4 0 14 May 2024
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization Georg Kruse Rodrigo Coehlo A. Rosskopf Robert Wille Jeanette Miriam Lorenz 22 1 0 13 May 2024
Variational Optimization for Quantum Problems using Deep Generative Networks Lingxia Zhang Xiaodie Lin Peidong Wang Kaiyan Yang Xiao Zeng Zhaohui Wei Zizhu Wang 29 1 0 28 Apr 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 32 20 0 15 Apr 2024
Layered Uploading for Quantum Convolutional Neural Networks Grégoire Barrué Tony Quertier Orlane Zang 87 0 0 15 Apr 2024
Image Classification with Rotation-Invariant Variational Quantum Circuits Paul San Sebastian Mikel Canizo Román Orús 30 4 0 22 Mar 2024
How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing A. Pręgowska Agata Roszkiewicz Magdalena Osial M. Giersig 18 4 0 20 Mar 2024
Trained quantum neural networks are Gaussian processes Filippo Girardi Giacomo De Palma 16 3 0 13 Feb 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 40 4 0 13 Feb 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 34 14 0 17 Jan 2024
Towards an in-depth detection of malware using distributed QCNN Tony Quertier Grégoire Barrué 13 1 0 19 Dec 2023
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 33 128 0 14 Dec 2023
Impact of Data Augmentation on QCNNs Leting Zhouli Peiyong Wang P. Udaya 11 0 0 01 Dec 2023
Tensor networks for interpretable and efficient quantum-inspired machine learning Shirli Ran Gang Su 35 7 0 19 Nov 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks Debanjan Konar Dheeraj Peddireddy Vaneet Aggarwal B. K. Panigrahi 15 0 0 02 Oct 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 26 4 0 26 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 49 8 0 22 Sep 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 30 12 0 20 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 17 12 0 31 Aug 2023
Parallel-in-time quantum simulation via Page and Wootters quantum time N. L. Diaz Paolo Braccia Martín Larocca J. Matera R. Rossignoli M. Cerezo 17 7 0 24 Aug 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
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 30 44 0 23 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data Koki Chinzei Q. Tran Kazunori Maruyama H. Oshima S. Sato 25 10 0 12 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 23 16 0 02 Jun 2023
Quantum Machine Learning for Malware Classification Grégoire Barrué Tony Quertier 71 2 0 09 May 2023
Efficient Quantum Algorithms for Quantum Optimal Control Xiantao Li C. Wang 18 6 0 05 Apr 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 13 25 0 29 Mar 2023
Quantum approximate optimization via learning-based adaptive optimization Lixue Cheng Yu-Qin Chen Shi-Xin Zhang Shengyu Zhang 22 24 0 27 Mar 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 32 10 0 26 Mar 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 14 401 0 16 Mar 2023
Error mitigation of entangled states using brainbox quantum autoencoders Joséphine Pazem M. Ansari 18 3 0 02 Mar 2023
Effects of noise on the overparametrization of quantum neural networks Diego García-Martín Martín Larocca M. Cerezo 25 17 0 10 Feb 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
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 10 6 0 22 Dec 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