Supanut Thanasilp

According to our database1, Supanut Thanasilp authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A Review of Barren Plateaus in Variational Quantum Computing.
CoRR, 2024

Variational quantum simulation: a case study for understanding warm starts.
CoRR, 2024

2023
Subtleties in the trainability of quantum machine learning models.
Quantum Mach. Intell., June, 2023

On fundamental aspects of quantum extreme learning machines.
CoRR, 2023

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing.
CoRR, 2023

A Unified Framework for Trace-induced Quantum Kernels.
CoRR, 2023

Trainability barriers and opportunities in quantum generative modeling.
CoRR, 2023

2022
Exponential concentration and untrainability in quantum kernel methods.
CoRR, 2022

2021
Qubit-efficient encoding schemes for binary optimisation problems.
Quantum, 2021


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