Supanut Thanasilp

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Quantum Computing

Top Venues

Quantum Mach. Intell.

Publications

Ricard Puig-i-Valls, Marc Drudis, Supanut Thanasilp, Zoë Holmes
Variational quantum simulation: a case study for understanding warm starts. CoRR (2024)
Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
A Review of Barren Plateaus in Variational Quantum Computing. CoRR (2024)
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Sofia Vallecorsa, Michele Grossi, Zoë Holmes
Trainability barriers and opportunities in quantum generative modeling. CoRR (2023)
Beng Yee Gan, Daniel Leykam, Supanut Thanasilp
A Unified Framework for Trace-induced Quantum Kernels. CoRR (2023)
Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo
Subtleties in the trainability of quantum machine learning models. Quantum Mach. Intell. 5 (1) (2023)
Weijie Xiong, Giorgio Facelli, Mehrad Sahebi, Owen Agnel, Thiparat Chotibut, Supanut Thanasilp, Zoë Holmes
On fundamental aspects of quantum extreme learning machines. CoRR (2023)
Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. CoRR (2023)
Supanut Thanasilp, Samson Wang, Marco Cerezo, Zoë Holmes
Exponential concentration and untrainability in quantum kernel methods. CoRR (2022)
Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo
Subtleties in the trainability of quantum machine learning models. CoRR (2021)
Benjamin Tan, Marc-Antoine Lemonde, Supanut Thanasilp, Jirawat Tangpanitanon, Dimitris G. Angelakis
Qubit-efficient encoding schemes for binary optimisation problems. Quantum 5 (2021)