Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection. - Frank Phillipson; Robert S. Wezeman; Irina Chiscop (MLN, 2020)

Indoor-Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches. - Frank Phillipson; Robert S. Wezeman; Irina Chiscop (Comput., 2021)

Quantum-Classical Solution Methods for Binary Compressive Sensing Problems. - Robert S. Wezeman; Irina Chiscop; Laura Anitori; Wim van Rossum (ICCS (4), 2022)

A Multi Service Capacitated Facility Location Problem with Stochastic Demand. - L. J. Kim; Frank Phillipson; Robert S. Wezeman (I4CS, 2022)

Distributed Quantum Machine Learning. - Niels M. P. Neumann; Robert S. Wezeman (I4CS, 2022)

Evaluating the Q-score of Quantum Annealers. - Ward van der Schoot; Daan Leermakers; Robert S. Wezeman; Niels M. P. Neumann; Frank Phillipson (QSW, 2022)

Classification of Hybrid Quantum-Classical Computing. - Frank Phillipson; Niels M. P. Neumann; Robert S. Wezeman (ICCS (5), 2023)

Evaluating three levels of quantum metrics on quantum-inspire hardware. - Ward van der Schoot; Robert S. Wezeman; Pieter Thijs Eendebak; Niels M. P. Neumann; Frank Phillipson (Quantum Inf. Process., 2023)

Noise Robustness of a Multiparty Quantum Summation Protocol. - Antón Rodríguez-Otero; Niels M. P. Neumann; Ward van der Schoot; Robert S. Wezeman (ICCS (6), 2024)

Extending the Q-Score to an Application-Level Quantum Metric Framework. - Ward van der Schoot; Robert S. Wezeman; Niels M. P. Neumann; Frank Phillipson; Robert E. Kooij (QCE, 2024)

Secure addition of floating points. - Thijs Veugen; Robert S. Wezeman; Alessandro Amadori; Sven Bootsma; Bart Kamphorst (Int. J. Appl. Cryptogr., 2025)