Optimal training of variational quantum algorithms without barren plateaus

29 April 2021

Papers citing "Optimal training of variational quantum algorithms without barren plateaus"

16 / 16 papers shown

Title
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 61 0 0 20 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
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 2024
Improving Trainability of Variational Quantum Circuits via Regularization Strategies Jun Zhuang Jack Cunningham Chaowen Guan 32 4 0 02 May 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 41 20 0 15 Apr 2024
On Quantum Natural Policy Gradients André Sequeira Luis Paulo Santos Luis Soares Barbosa 18 0 0 16 Jan 2024
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 33 10 0 26 Apr 2023
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks Zeyi Tao Jindi Wu Qi Xia Qun Li 25 9 0 05 May 2022
Optimisation-free Classification and Density Estimation with Quantum Circuits Vladimir Vargas-Calderón Fabio A. González Herbert Vinck-Posada 28 6 0 28 Mar 2022
Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits Shiro Tamiya H. Yamasaki 26 24 0 15 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
Recent advances for quantum classifiers Weikang Li D. Deng AAML 33 84 0 30 Aug 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 28 50 0 02 Aug 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
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