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)

Absence of Barren Plateaus in Quantum Convolutional Neural Networks. - Arthur Pesah; Marco Cerezo; Samson Wang; Tyler J. Volkoff; Andrew T. Sornborger; Patrick J. Coles (CoRR, 2020)

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

Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra. - Samson Wang; Sam McArdle; Mario Berta (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)

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, 2023)

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)

Quantum computational complexity of matrix functions. - Santiago Cifuentes; Samson Wang; Thais L. Silva; Mario Berta; Leandro Aolita (CoRR, 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, 2024)