Qubit-efficient encoding schemes for binary optimisation problems. - Benjamin Tan 002; Marc-Antoine Lemonde; Supanut Thanasilp; Jirawat Tangpanitanon; Dimitris G. Angelakis (Quantum, 2021)

Exponential concentration and untrainability in quantum kernel methods. - Supanut Thanasilp; Samson Wang; Marco Cerezo; Zoë Holmes (CoRR, 2022)

Trainability barriers and opportunities in quantum generative modeling. - Manuel S. Rudolph; Sacha Lerch; Supanut Thanasilp; Oriel Kiss; Sofia Vallecorsa; Michele Grossi; Zoë Holmes (CoRR, 2023)

A Unified Framework for Trace-induced Quantum Kernels. - Beng Yee Gan; Daniel Leykam; Supanut Thanasilp (CoRR, 2023)

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. - Marco Cerezo; Martin Larocca; Diego García-Martín; Nelson L. Diaz; Paolo Braccia; Enrico Fontana; Manuel S. Rudolph; Pablo Bermejo 002; Aroosa Ijaz; Supanut Thanasilp; Eric R. Anschütz; Zoë Holmes (CoRR, 2023)

Subtleties in the trainability of quantum machine learning models. - Supanut Thanasilp; Samson Wang; Nhat A. Nghiem; Patrick J. Coles; Marco Cerezo (Quantum Mach. Intell., 2023)

Variational quantum simulation: a case study for understanding warm starts. - Ricard Puig-i-Valls; Marc Drudis; Supanut Thanasilp; Zoë Holmes (CoRR, 2024)

A Review of Barren Plateaus in Variational Quantum Computing. - Martin Larocca; Supanut Thanasilp; Samson Wang; Kunal Sharma; Jacob D. Biamonte; Patrick J. Coles; Lukasz Cincio; Jarrod R. McClean; Zoë Holmes; Marco Cerezo (CoRR, 2024)

Efficient quantum-enhanced classical simulation for patches of quantum landscapes. - Sacha Lerch; Ricard Puig-i-Valls; Manuel S. Rudolph; Armando Angrisani; Tyson Jones; Marco Cerezo; Supanut Thanasilp; Zoë Holmes (CoRR, 2024)

A unifying account of warm start guarantees for patches of quantum landscapes. - Hela Mhiri; Ricard Puig-i-Valls; Sacha Lerch; Manuel S. Rudolph; Thiparat Chotibut; Supanut Thanasilp; Zoë Holmes (CoRR, 2025)

Role of scrambling and noise in temporal information processing with quantum systems. - Weijie Xiong; Zoë Holmes; Armando Angrisani; Yudai Suzuki; Thiparat Chotibut; Supanut Thanasilp (CoRR, 2025)

Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms. - Kasidit Srimahajariyapong; Supanut Thanasilp; Thiparat Chotibut (CoRR, 2025)

On fundamental aspects of quantum extreme learning machines. - Weijie Xiong; Giorgio Facelli; Mehrad Sahebi; Owen Agnel; Thiparat Chotibut; Supanut Thanasilp; Zoë Holmes (Quantum Mach. Intell., 2025)