Supanut Thanasilp

Chulalongkorn University — Thailand

Computer Science · Physical Sciences

9h-index476citations28works24.02yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(22), Quantum Information and Cryptography(13), Quantum many-body systems(7), Neural Networks and Reservoir Computing(7), Quantum and electron transport phenomena(3)

Publications28 total

Pitfalls when tackling the exponential concentration of parameterized quantum models
Quantum Science and Technology·2025· 1 citedOpen Access
Does provable absence of barren plateaus imply classical simulability?
Nature Communications·2025· 43 citedOpen Access
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
arXiv (Cornell University)·2025Open Access
Role of scrambling and noise in temporal information processing with quantum systems
arXiv (Cornell University)·2025Open Access
Barren plateaus in variational quantum computing
Nature Reviews Physics·2025· 114 cited
On fundamental aspects of quantum extreme learning machines
Quantum Machine Intelligence·2025· 19 citedOpen Access
A unifying account of warm start guarantees for patches of quantum landscapes
ArXiv.org·2025Open Access
Variational Quantum Simulation: A Case Study for Understanding Warm Starts
PRX Quantum·2025· 18 citedOpen Access
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
arXiv (Cornell University)·2024· 4 citedOpen Access
Trainability barriers and opportunities in quantum generative modeling
npj Quantum Information·2024· 28 citedOpen Access
Exponential concentration in quantum kernel methods
Nature Communications·2024· 72 citedOpen Access
Latent Style-based Quantum GAN for high-quality Image Generation
arXiv (Cornell University)·2024· 5 citedOpen Access
Barren Plateaus in Variational Quantum Computing
arXiv (Cornell University)·2024· 29 citedOpen Access
Variational quantum simulation: a case study for understanding warm starts
arXiv (Cornell University)·2024· 3 citedOpen Access
On fundamental aspects of quantum extreme learning machines
arXiv (Cornell University)·2023· 2 citedOpen Access
Does provable absence of barren plateaus imply classical simulability?
arXiv (Cornell University)·2023· 37 citedOpen Access
A Unified Framework for Trace-induced Quantum Kernels
arXiv (Cornell University)·2023· 1 citedOpen Access
Subtleties in the trainability of quantum machine learning models
Quantum Machine Intelligence·2023Open Access
Trainability barriers and opportunities in quantum generative modeling
arXiv (Cornell University)·2023· 3 citedOpen Access
Signatures of a sampling quantum advantage in driven quantum many-body systems
Quantum Science and Technology·2023· 6 citedOpen Access
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Frequent Co-authors

Zoë Holmes(17), Samson Wang(7), M. Cerezo(6), Manuel S. Rudolph(6), Dimitris G. Angelakis(6), Thiparat Chotibut(5), Jirawat Tangpanitanon(5), Marc-Antoine Lemonde(5), Martín Larocca(4), Patrick J. Coles(4), Sacha Lerch(4), S. Vallecorsa(3), Michele Grossi(3), Weijie Xiong(3), Ricard Puig(3), Kunal Sharma(2), Jacob Biamonte(2), Łukasz Cincio(2), Jarrod R. McClean(2), Diego García-Martín(2)