Trainability barriers and opportunities in quantum generative modeling

Trainability barriers and opportunities in quantum generative modeling

4 May 2023

Manuel S. Rudolph

Supanut Thanasilp

Zoë Holmes

Papers citing "Trainability barriers and opportunities in quantum generative modeling"

9 / 9 papers shown

Title
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 33 128 0 14 Dec 2023
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits H. Gharibyan Vincent Su Hayk H. Tepanyan 29 1 0 21 Nov 2023
Conditional Born machine for Monte Carlo event generation Oriel Kiss Michele Grossi E. Kajomovitz S. Vallecorsa 33 14 0 16 May 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 48 19 0 16 Feb 2022
Style-based quantum generative adversarial networks for Monte Carlo events Carlos Bravo-Prieto J. Baglio M. Cè A. Francis D. Grabowska Stefano Carrazza GAN 39 40 0 13 Oct 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
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 118 420 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 119 652 0 28 Jul 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016