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Entanglement Induced Barren Plateaus

29 October 2020

Papers citing "Entanglement Induced Barren Plateaus"

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Title
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms Kasidit Srimahajariyapong Supanut Thanasilp Thiparat Chotibut 24 0 0 01 Jul 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 117 0 0 13 May 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 99 1 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 147 63 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 99 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 80 0 0 07 Feb 2025
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 82 2 0 11 Sep 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 101 5 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 108 2 0 26 Jun 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 138 22 0 15 Apr 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 105 4 0 08 Feb 2024
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 97 138 0 14 Dec 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 91 50 0 23 Jun 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 70 445 0 16 Mar 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 78 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 112 23 0 29 Dec 2022
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery Prateek Jain Srinjoy Ganguly GAN AI4CE 56 8 0 15 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 105 19 0 05 Dec 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 109 92 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 114 94 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 99 75 0 14 Oct 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 64 3 0 26 Sep 2022
QSAN: A Near-term Achievable Quantum Self-Attention Network Jinjing Shi Ren-Xin Zhao Wenxuan Wang Shenmin Zhang Xuelong Li 107 21 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 133 15 0 30 Jun 2022
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 69 40 0 26 May 2022
Avoiding Barren Plateaus with Classical Deep Neural Networks Lucas Friedrich Jonas Maziero 59 42 0 26 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 108 68 0 12 May 2022
Fundamental limitations on optimization in variational quantum algorithms Hao-Kai Zhang Chengkai Zhu Geng-yang Liu Xin Wang 36 4 0 10 May 2022
Dynamical simulation via quantum machine learning with provable generalization Joe Gibbs Zoë Holmes Matthias C. Caro Nic Ezzell Hsin-Yuan Huang L. Cincio A. Sornborger Patrick J. Coles AI4CE 107 43 0 21 Apr 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 101 19 0 05 Jan 2022
Mode connectivity in the loss landscape of parameterized quantum circuits Kathleen E. Hamilton E. Lynn R. Pooser 56 3 0 09 Nov 2021
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 112 385 0 09 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 85 64 0 27 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 59 11 0 08 Oct 2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction Cenk Tüysüz C. Rieger Kristiane Novotny B. Demirköz D. Dobos K. Potamianos S. Vallecorsa J. Vlimant Richard Forster 146 55 0 26 Sep 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 103 192 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 101 60 0 08 Sep 2021
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Samson Wang Piotr Czarnik A. Arrasmith M. Cerezo L. Cincio Patrick J. Coles 142 82 0 02 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 87 87 0 30 Aug 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 87 28 0 12 Jul 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 119 35 0 29 Apr 2021
Quantum algorithms for SVD-based data representation and analysis Armando Bellante Alessandro Luongo S. Zanero 44 9 0 19 Apr 2021
Equivalence of quantum barren plateaus to cost concentration and narrow gorges A. Arrasmith Zoë Holmes M. Cerezo Patrick J. Coles 71 146 0 12 Apr 2021
Quantum Optimization for Training Quantum Neural Networks Yidong Liao Min-hsiu Hsieh C. Ferrie 77 16 0 31 Mar 2021
A semi-agnostic ansatz with variable structure for quantum machine learning M. Bilkis M. Cerezo Guillaume Verdon Patrick J. Coles L. Cincio 67 19 0 11 Mar 2021
Entanglement Diagnostics for Efficient Quantum Computation Joonho Kim Yaron Oz 33 12 0 24 Feb 2021
Long-time simulations with high fidelity on quantum hardware Joe Gibbs Kaitlin Gili Zoë Holmes Benjamin Commeau A. Arrasmith L. Cincio Patrick J. Coles A. Sornborger 106 53 0 08 Feb 2021
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus Chen Zhao Xiao-Shan Gao 79 90 0 03 Feb 2021
Enhancing Generative Models via Quantum Correlations Xun Gao Eric R. Anschuetz Sheng-Tao Wang J. I. Cirac M. Lukin 50 77 0 20 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 240 432 0 06 Jan 2021