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Supanut Thanasilp
Supanut Thanasilp
Faculty member, Chulalongkorn University, Thailand
Verified email at u.nus.edu
Title
Cited by
Cited by
Year
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ...
arXiv preprint arXiv:2312.09121, 2023
129*2023
Exponential concentration in quantum kernel methods
S Thanasilp, S Wang, M Cerezo, Z Holmes
Nature Communications 15 (1), 5200, 2024
112*2024
A review of barren plateaus in variational quantum computing
M Larocca, S Thanasilp, S Wang, K Sharma, J Biamonte, PJ Coles, ...
arXiv preprint arXiv:2405.00781, 2024
1072024
Subtleties in the trainability of quantum machine learning models
S Thanasilp, S Wang, NA Nghiem, P Coles, M Cerezo
Quantum Machine Intelligence 5 (1), 21, 2023
812023
Expressibility and trainability of parametrized analog quantum systems for machine learning applications
J Tangpanitanon, S Thanasilp, N Dangniam, MA Lemonde, DG Angelakis
Physical Review Research 2 (4), 043364, 2020
472020
Qubit-efficient encoding schemes for binary optimisation problems
B Tan, MA Lemonde, S Thanasilp, J Tangpanitanon, DG Angelakis
Quantum 5, 454, 2021
392021
Trainability barriers and opportunities in quantum generative modeling
MS Rudolph, S Lerch, S Thanasilp, O Kiss, O Shaya, S Vallecorsa, ...
npj Quantum Information 10 (1), 116, 2024
322024
On fundamental aspects of quantum extreme learning machines
W Xiong, G Facelli, M Sahebi, O Agnel, T Chotibut, S Thanasilp, Z Holmes
arXiv preprint arXiv:2312.15124, 2023
182023
Variational quantum simulation: a case study for understanding warm starts
R Puig, M Drudis, S Thanasilp, Z Holmes
arXiv preprint arXiv:2404.10044, 2024
152024
Signatures of a sampling quantum advantage in driven quantum many-body systems
J Tangpanitanon, S Thanasilp, MA Lemonde, N Dangniam, DG Angelakis
Quantum Science and Technology 8 (2), 025019, 2023
112023
Efficiently extracting multi-point correlations of a Floquet thermalized system
YG Zheng, WY Zhang, YC Shen, A Luo, Y Liu, MG He, HR Zhang, W Lin, ...
arXiv preprint arXiv:2210.08556, 2022
82022
Quantum supremacy and quantum phase transitions
S Thanasilp, J Tangpanitanon, MA Lemonde, N Dangniam, DG Angelakis
Physical Review B 103 (16), 165132, 2021
82021
A unified framework for trace-induced quantum kernels
BY Gan, D Leykam, S Thanasilp
arXiv preprint arXiv:2311.13552, 2023
72023
Latent Style-based Quantum GAN for high-quality Image Generation
SY Chang, S Thanasilp, BL Saux, S Vallecorsa, M Grossi
arXiv preprint arXiv:2406.02668, 2024
62024
Quantum supremacy with analog quantum processors for material science and machine learning
J Tangpanitanon, S Thanasilp, MA Lemonde, DG Angelakis
arXiv preprint arXiv:1906.03860, 2019
42019
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
S Lerch, R Puig, MS Rudolph, A Angrisani, T Jones, M Cerezo, ...
arXiv preprint arXiv:2411.19896, 2024
32024
Potentials and Limitations of Analog Quantum Simulators in Variational Quantum Algorithms
K Srimahajariyapong, S Thanasilp, T Chotibut
Bulletin of the American Physical Society, 2024
2024
Expressivity and generalization error of projected fidelity quantum kernels
BY Gan, S Thanasilp, D Leykam, D Angelakis
APS March Meeting Abstracts 2023, D73. 007, 2023
2023
Qubit-efficient encoding schemes for binary optimisation problems
B Tan, MA Lemonde, S Thanasilp, J Tangpanitanon, D Angelakis
Bulletin of the American Physical Society, 2021
2021
Quantum supremacy and quantum phase transitions
S Thanasilp, J Tangpanitanon, MA Lemonde, N Dangniam, D Angelakis
Bulletin of the American Physical Society, 2021
2021
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Articles 1–20