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2104.14543
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Optimal training of variational quantum algorithms without barren plateaus
29 April 2021
Tobias Haug
M. S. Kim
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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
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