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2204.10268
Cited By
Out-of-distribution generalization for learning quantum dynamics
21 April 2022
Matthias C. Caro
Hsin-Yuan Huang
Nic Ezzell
Joe Gibbs
A. Sornborger
L. Cincio
Patrick J. Coles
Zoë Holmes
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Papers citing
"Out-of-distribution generalization for learning quantum dynamics"
19 / 19 papers shown
Title
Variational quantum simulation: a case study for understanding warm starts
Ricard Puig-i-Valls
Marc Drudis
Supanut Thanasilp
Zoë Holmes
41
20
0
15 Apr 2024
Learning shallow quantum circuits
Hsin-Yuan Huang
Yunchao Liu
Michael Broughton
Isaac Kim
Anurag Anshu
Zeph Landau
Jarrod R. McClean
32
26
0
18 Jan 2024
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
32
45
0
23 Jun 2023
Classical Verification of Quantum Learning
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
22
5
0
08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
40
8
0
06 Jun 2023
A survey on the complexity of learning quantum states
Anurag Anshu
Srinivasan Arunachalam
34
66
0
31 May 2023
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
28
14
0
22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
19
404
0
16 Mar 2023
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
27
41
0
08 Dec 2022
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang
Sitan Chen
J. Preskill
60
65
0
26 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki
Martín Larocca
Quynh T. Nguyen
F. Sauvage
M. Cerezo
39
84
0
18 Oct 2022
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
21
76
0
23 Aug 2022
Power and limitations of single-qubit native quantum neural networks
Zhan Yu
Hong Yao
Mujin Li
Xin Wang
42
36
0
16 May 2022
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs
Zoë Holmes
Matthias C. Caro
Nic Ezzell
Hsin-Yuan Huang
L. Cincio
A. Sornborger
Patrick J. Coles
AI4CE
18
43
0
21 Apr 2022
A Hierarchy for Replica Quantum Advantage
Sitan Chen
Jordan S. Cotler
Hsin-Yuan Huang
J. Li
48
22
0
10 Nov 2021
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
38
61
0
27 Oct 2021
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
53
43
0
15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
74
213
0
07 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
138
655
0
28 Jul 2020
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