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Analyzing the barren plateau phenomenon in training quantum neural
  networks with the ZX-calculus

Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus

3 February 2021
Chen Zhao
Xiao-Shan Gao
ArXivPDFHTML

Papers citing "Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus"

13 / 13 papers shown
Title
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
Jack Cunningham
Jun Zhuang
32
4
0
25 Jul 2024
Does provable absence of barren plateaus imply classical simulability?
  Or, why we need to rethink variational quantum computing
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
38
128
0
14 Dec 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Weiyuan Gong
D. Yuan
Weikang Li
D. Deng
AAML
19
19
0
05 Dec 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
76
0
23 Aug 2022
Analytic theory for the dynamics of wide quantum neural networks
Analytic theory for the dynamics of wide quantum neural networks
Junyu Liu
K. Najafi
Kunal Sharma
F. Tacchino
Liang Jiang
Antonio Mezzacapo
22
52
0
30 Mar 2022
Differentiating and Integrating ZX Diagrams with Applications to Quantum
  Machine Learning
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
Quanlong Wang
Richie Yeung
Mark Koch
16
8
0
31 Jan 2022
Quantum Capsule Networks
Quantum Capsule Networks
Zidu Liu
Pei-Xin Shen
Weikang Li
L. Duan
D. Deng
GNN
40
18
0
05 Jan 2022
Subtleties in the trainability of quantum machine learning models
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
Diagrammatic Differentiation for Quantum Machine Learning
Diagrammatic Differentiation for Quantum Machine Learning
Alexis Toumi
Richie Yeung
G. Felice
22
20
0
14 Mar 2021
Kindergarden quantum mechanics graduates (...or how I learned to stop
  gluing LEGO together and love the ZX-calculus)
Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)
B. Coecke
Dominic C. Horsman
A. Kissinger
Quanlong Wang
11
19
0
22 Feb 2021
Learning quantum data with the quantum Earth Mover's distance
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
21
45
0
08 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren
  plateaus
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
125
420
0
06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
132
655
0
28 Jul 2020
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