Entanglement Induced Barren Plateaus

29 October 2020

Papers citing "Entanglement Induced Barren Plateaus"

50 / 87 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen H. Tseng Shinjae Yoo 29 0 0 13 May 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks Mohamed Afane Gabrielle Ebbrecht Ying Wang Juntao Chen Junaid Farooq 34 0 0 26 Mar 2025
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware Rahul Bhowmick Harsh Wadhwa Avinash Singh Tania Sidana Quoc Hoan Tran Krishna Kumar Sabapathy 63 0 0 20 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 59 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 50 0 0 17 Feb 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
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 31 0 0 05 Nov 2024
Quantum Boltzmann machine learning of ground-state energies Dhrumil Patel Daniel Koch Saahil Patel Mark M. Wilde 36 7 0 16 Oct 2024
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 31 1 0 02 Oct 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 28 2 0 11 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 39 2 0 22 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 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 60 2 0 26 Jun 2024
Variational Optimization for Quantum Problems using Deep Generative Networks Lingxia Zhang Xiaodie Lin Peidong Wang Kaiyan Yang Xiao Zeng Zhaohui Wei Zizhu Wang 34 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 44 20 0 15 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 38 2 0 27 Mar 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 39 4 0 08 Feb 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 33 26 0 21 Jan 2024
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications Hankyul Baek Donghyeon Kim Joongheon Kim 37 3 0 28 Dec 2023
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 26 23 0 23 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 43 128 0 14 Dec 2023
Maximising Quantum-Computing Expressive Power through Randomised Circuits Yingli Yang Zongkang Zhang Anbang Wang Xiaosi Xu Xiaoting Wang Ying Li 23 3 0 04 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 23 2 0 04 Dec 2023
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 28 12 0 19 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 32 7 0 08 Nov 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 19 3 0 20 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
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 35 45 0 23 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data Koki Chinzei Quoc Hoan Tran Kazunori Maruyama H. Oshima S. Sato 30 10 0 12 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 26 16 0 02 Jun 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
Energy-dependent barren plateau in bosonic variational quantum circuits Bingzhi Zhang Quntao Zhuang 34 5 0 02 May 2023
Quantum Kernel Alignment with Stochastic Gradient Descent Gian Gentinetta David Sutter Christa Zoufal Bryce Fuller Stefan Woerner 30 12 0 19 Apr 2023
Variational Denoising for Variational Quantum Eigensolver Quoc-Hoan Tran Shinji Kikuchi H. Oshima 16 3 0 02 Apr 2023
Quantum approximate optimization via learning-based adaptive optimization Lixue Cheng Yu-Qin Chen Shi-Xin Zhang Shengyu Zhang 29 24 0 27 Mar 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
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
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
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery Prateek Jain Srinjoy Ganguly GAN AI4CE 28 7 0 15 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 84 0 18 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
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 33 3 0 26 Sep 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 28 24 0 30 Aug 2022
QSAN: A Near-term Achievable Quantum Self-Attention Network Jinjing Shi Ren-Xin Zhao Wenxuan Wang Shenmin Zhang Xuelong Li 21 20 0 14 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
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 34 40 0 26 May 2022
Avoiding Barren Plateaus with Classical Deep Neural Networks Lucas Friedrich Jonas Maziero 17 41 0 26 May 2022