Effect of barren plateaus on gradient-free optimization

24 November 2020

Papers citing "Effect of barren plateaus on gradient-free optimization"

33 / 33 papers shown

Title
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 62 60 0 20 Feb 2025
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs F. Schiavello Edoardo Altamura I. Tavernelli Stefano Mensa Benjamin C. B. Symons 39 1 0 16 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 28 2 0 11 Sep 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 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
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 35 45 0 23 Jun 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
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 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
On Physics-Informed Neural Networks for Quantum Computers Stefano Markidis PINN 32 18 0 28 Sep 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 33 3 0 26 Sep 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 24 76 0 23 Aug 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 21 8 0 17 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 26 68 0 12 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 23 43 0 21 Apr 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 21 16 0 03 Feb 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 43 18 0 05 Jan 2022
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 8 354 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 38 61 0 27 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 43 188 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 58 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 68 81 0 02 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 39 84 0 30 Aug 2021
Representation of binary classification trees with binary features by quantum circuits R. Heese P. Bickert A. Niederle 21 19 0 30 Aug 2021
Quantum Optimization for Training Quantum Neural Networks Yidong Liao Min-hsiu Hsieh C. Ferrie 20 16 0 31 Mar 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 50 53 0 08 Feb 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 106 390 0 21 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020