Dynamic CMG Model. - Vadim Smelyanskiy; Serdar Uckun; Nancy J. Lybeck; Brogan Morton; Sean Marble (AAAI Fall Symposium: Artificial Intelligence for Prognostics, 2007)

On the relevance of avoided crossings away from quantum critical point to the complexity of quantum adiabatic algorithm - Sergey Knysh; Vadim N. Smelyanskiy (CoRR, 2010)

The complexity of the Quantum Adiabatic Algorithm. - A. P. Young; Sergey Knysh; Vadim N. Smelyanskiy (Comput. Phys. Commun., 2011)

Bayesian Network Structure Learning Using Quantum Annealing. - Bryan O'Gorman; Alejandro Perdomo-Ortiz; Ryan Babbush; Alán Aspuru-Guzik; Vadim Smelyanskiy (CoRR, 2014)

A case study in programming a quantum annealer for hard operational planning problems. - Eleanor Gilbert Rieffel; Davide Venturelli; Bryan O'Gorman; Minh Do; Elicia M. Prystay; Vadim Smelyanskiy (Quantum Inf. Process., 2015)

Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass. - Kostyantyn Kechedzhi; Vadim Smelyanskiy; Jarrod R. McClean; Vasil S. Denchev; Masoud Mohseni; Sergei Isakov; Sergio Boixo; Boris Altshuler; Hartmut Neven (TQC, 2018)

Barren plateaus in quantum neural network training landscapes. - Jarrod R. McClean; Sergio Boixo; Vadim N. Smelyanskiy; Ryan Babbush; Hartmut Neven (CoRR, 2018)

Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments. - Kostyantyn Kechedzhi; Sergei V. Isakov; Salvatore Mandrà; Benjamin Villalonga; X. Mi; Sergio Boixo; Vadim Smelyanskiy (Future Gener. Comput. Syst., 2024)