An Advantage Using Feature Selection with a Quantum Annealer. - Andrew Vlasic; Hunter Grant; Salvatore Certo (CoRR, 2022)

Complement Grover's Search Algorithm: An Amplitude Suppression Implementation. - Andrew Vlasic; Salvatore Certo; Anh Pham (QCE, 2023)

Understanding the mapping of encode data through an implementation of quantum topological analysis. - Andrew Vlasic; Anh Pham (Quantum Inf. Comput., 2023)

αQBoost: an iteratively weighted adiabatic trained classifier. - Salvatore Certo; Andrew Vlasic; Daniel Beaulieu (Quantum Inf. Process., 2023)

Conditional generative models for learning stochastic processes. - Salvatore Certo; Anh Pham; Nicolas Robles; Andrew Vlasic (Quantum Mach. Intell., 2023)

Hybrid Quantum Graph Neural Network for Molecular Property Prediction. - Michael Vitz; Hamed Mohammadbagherpoor; Samarth Sandeep; Andrew Vlasic; Richard Padbury; Anh Pham (CoRR, 2024)

Towards structure-preserving quantum encodings. - Arthur J. Parzygnat; Tai-Danae Bradley; Andrew Vlasic; Anh Pham (CoRR, 2024)

Feature selection through quantum annealing. - Andrew Vlasic; Hunter Grant; Salvatore Certo (J. Supercomput., 2025)

Empirical power of quantum encoding methods for binary classification. - Gennaro De Luca; Andrew Vlasic; Michael Vitz; Anh Pham (Quantum Mach. Intell., 2025)