Samson Wang

According to our database, Samson Wang authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?

Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles

Quantum, March, 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

2023

The battle of clean and dirty qubits in the era of partial error correction.

Daniel Bultrini, Samson Wang, Piotr Czarnik, Max Hunter Gordon, Marco Cerezo, Patrick J. Coles, Lukasz Cincio

Quantum, July, 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., June, 2023

Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra.

Samson Wang, Sam McArdle, Mario Berta

CoRR, 2023

2022

Exponential concentration and untrainability in quantum kernel methods.

Supanut Thanasilp, Samson Wang, Marco Cerezo, Zoë Holmes

CoRR, 2022

2020

Absence of Barren Plateaus in Quantum Convolutional Neural Networks.

Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms.

Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles

CoRR, 2020