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2305.02881
Cited By
Trainability barriers and opportunities in quantum generative modeling
4 May 2023
Manuel S. Rudolph
S. Lerch
Supanut Thanasilp
Oriel Kiss
S. Vallecorsa
Michele Grossi
Zoë Holmes
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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
35
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
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