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Supanut Thanasilp
Supanut Thanasilp
Faculty member, Chulalongkorn University, Thailand
Correu electrònic verificat a u.nus.edu
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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
1432023
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
1232024
Exponential concentration in quantum kernel methods
S Thanasilp, S Wang, M Cerezo, Z Holmes
Nature Communications 15 (1), 5200, 2024
1092024
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
842023
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
402021
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
Quantum Machine Intelligence 7 (1), 20, 2025
212025
Variational quantum simulation: a case study for understanding warm starts
R Puig, M Drudis, S Thanasilp, Z Holmes
arXiv preprint arXiv:2404.10044, 2024
21*2024
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
122023
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
92024
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
92022
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
62023
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
52024
Exponential concentration in quantum kernel methods
S Thanasilp, S Wang, M Cerezo, Z Holmes
arXiv preprint arXiv:2208.11060, 2022
42022
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
32019
A unifying account of warm start guarantees for patches of quantum landscapes
H Mhiri, R Puig, S Lerch, MS Rudolph, T Chotibut, S Thanasilp, Z Holmes
arXiv preprint arXiv:2502.07889, 2025
2025
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
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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