Optimal training of variational quantum algorithms without barren plateaus

29 April 2021

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

8 / 8 papers shown

Title
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 58 2 0 07 Mar 2025
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 32 4 0 25 Jul 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
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 30 61 0 27 Oct 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 21 47 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 101 390 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 119 652 0 28 Jul 2020