One-Sided Device-Independent Certification of Unbounded Random Numbers. - Brian Coyle; Matty J. Hoban; Elham Kashefi (PC@UCNC, 2018)

The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine. - Brian Coyle; Daniel Mills; Vincent Danos; Elham Kashefi (CoRR, 2019)

Certified Randomness From Steering Using Sequential Measurements. - Brian Coyle; Elham Kashefi; Matty J. Hoban (Cryptogr., 2019)

Robust data encodings for quantum classifiers. - Ryan LaRose; Brian Coyle (CoRR, 2020)

Quantum versus Classical Generative Modelling in Finance. - Brian Coyle; Maxwell Henderson; Justin Chan Jin Le; Niraj Kumar 005; Marco Paini; Elham Kashefi (CoRR, 2020)

Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis. - Brian Coyle; Mina Doosti; Elham Kashefi; Niraj Kumar 005 (CoRR, 2020)

Variational inference with a quantum computer. - Marcello Benedetti; Brian Coyle; Mattia Fiorentini; Michael Lubasch; Matthias Rosenkranz (CoRR, 2021)

Probably approximately correct quantum source coding. - Armando Angrisani; Brian Coyle; Elham Kashefi (CoRR, 2021)

F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits. - Chiara Leadbeater; Louis Sharrock; Brian Coyle; Marcello Benedetti (Entropy, 2021)

Machine learning applications for noisy intermediate-scale quantum computers. - Brian Coyle (CoRR, 2022)

A continuous variable Born machine. - Ieva Cepaite; Brian Coyle; Elham Kashefi (Quantum Mach. Intell., 2022)

Graph neural network initialisation of quantum approximate optimisation. - Nishant Jain; Brian Coyle; Elham Kashefi; Niraj Kumar 005 (Quantum, 2022)

Training-efficient density quantum machine learning. - Brian Coyle; El Amine Cherrat; Nishant Jain; Natansh Mathur; Snehal Raj; Skander Kazdaghli; Iordanis Kerenidis (CoRR, 2024)

Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters. - Snehal Raj; Brian Coyle (CoRR, 2025)

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection. - Natansh Mathur; Brian Coyle; Nishant Jain; Snehal Raj; Akshat Tandon; Jasper Simon Krauser; Rainer Stoessel (CoRR, 2025)