Folgen
Supanut Thanasilp
Supanut Thanasilp
Faculty member, Chulalongkorn University, Thailand
Bestätigte E-Mail-Adresse bei u.nus.edu
Titel
Zitiert von
Zitiert von
Jahr
Exponential concentration in quantum kernel methods
S Thanasilp, S Wang, M Cerezo, Z Holmes
Nature Communications 15 (1), 5200, 2024
88*2024
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
842023
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
702023
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
392024
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
392020
Qubit-efficient encoding schemes for binary optimisation problems
B Tan, MA Lemonde, S Thanasilp, J Tangpanitanon, DG Angelakis
Quantum 5, 454, 2021
352021
Trainability barriers and opportunities in quantum generative modeling
MS Rudolph, S Lerch, S Thanasilp, O Kiss, S Vallecorsa, M Grossi, ...
arXiv preprint arXiv:2305.02881, 2023
272023
A review of barren plateaus in variational quantum computing (2024)
M Larocca, S Thanasilp, S Wang, K Sharma, J Biamonte, PJ Coles, ...
arXiv preprint arXiv:2405.00781, 0
25
Does provable absence of barren plateaus imply classical simulability
M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ...
Or, why we need to rethink variational quantum computing https://doi. org/10 …, 2023
152023
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
132023
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
92023
Quantum supremacy and quantum phase transitions
S Thanasilp, J Tangpanitanon, MA Lemonde, N Dangniam, DG Angelakis
Physical Review B 103 (16), 165132, 2021
62021
Variational quantum simulation: a case study for understanding warm starts
R Puig, M Drudis, S Thanasilp, Z Holmes
arXiv preprint arXiv:2404.10044, 2024
52024
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
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
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
22024
A unified framework for trace-induced quantum kernels
BY Gan, D Leykam, S Thanasilp
arXiv preprint arXiv:2311.13552, 2023
22023
arXiv: Latent Style-based Quantum GAN for high-quality Image Generation
SY Chang, M Grossi, S Thanasilp, B Le Saux, S Vallecorsa
2024
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
arXiv: Trainability barriers and opportunities in quantum generative modeling
MS Rudolph, S Lerch, Z Holmes, S Vallecorsa, S Thanasilp, M Grossi, ...
2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20