Samson Wang

California Institute of Technology — United States

Computer Science · Physical Sciences

12h-index582citations21works36.42yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(17), Quantum Information and Cryptography(12), Quantum and electron transport phenomena(5), Quantum many-body systems(3), Advancements in Semiconductor Devices and Circuit Design(2)

Publications21 total

Randomized and quantum approximate matrix multiplication
arXiv (Cornell University)·2025Open Access
Quantum Algorithms
Cambridge University Press eBooks·2025· 30 citedOpen Access
Barren plateaus in variational quantum computing
Nature Reviews Physics·2025· 114 cited
Quantum computational complexity of matrix functions
arXiv (Cornell University)·2024Open Access
Exponential concentration in quantum kernel methods
Nature Communications·2024· 72 citedOpen Access
Barren Plateaus in Variational Quantum Computing
arXiv (Cornell University)·2024· 29 citedOpen Access
Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
PRX Quantum·2024· 16 citedOpen Access
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Quantum·2024· 30 citedOpen Access
Quantum algorithms: A survey of applications and end-to-end complexities
arXiv (Cornell University)·2023· 46 citedOpen Access
The battle of clean and dirty qubits in the era of partial error correction
Quantum·2023· 12 citedOpen Access
The battle of clean and dirty qubits in the era of partial error correction
2023· 1 citedOpen Access
A framework of partial error correction for intermediate-scale quantum computers
arXiv (Cornell University)·2023· 1 citedOpen Access
Subtleties in the trainability of quantum machine learning models
Quantum Machine Intelligence·2023Open Access
Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
arXiv (Cornell University)·2023· 3 citedOpen Access
Exponential concentration and untrainability in quantum kernel methods
2022· 53 citedOpen Access
Exponential concentration in quantum kernel methods
arXiv (Cornell University)·2022· 7 citedOpen Access
The battle of clean and dirty qubits in the era of partial error correction
arXiv (Cornell University)·2022· 2 citedOpen Access
Noise-induced barren plateaus in variational quantum algorithms
Nature Communications·2021· 81 citedOpen Access
Subtleties in the trainability of quantum machine learning models
arXiv (Cornell University)·2021· 9 citedOpen Access
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Physical Review X·2021· 37 citedOpen Access
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Frequent Co-authors

Patrick J. Coles(11), M. Cerezo(10), Łukasz Cincio(9), Supanut Thanasilp(7), Piotr Czarnik(6), Zoë Holmes(5), Mario Berta(5), Sam McArdle(4), Daniel Bultrini(4), Kunal Sharma(3), Max Hunter Gordon(3), Martín Larocca(2), Jacob Biamonte(2), Jarrod R. McClean(2), Alexander M. Dalzell(2), Przemysław Bienias(2), Chi-Fang Chen(2), András Gilyén(2), Connor T. Hann(2), Michael J. Kastoryano(2)