2025
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning.
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024
Quantum-optimal information encoding using noisy passive linear optics.
Quantum, January, 2024

Classically Spoofing System Linear Cross Entropy Score Benchmarking.
CoRR, 2024

2023
Engines for predictive work extraction from memoryful quantum stochastic processes.
Quantum, December, 2023

2022
Implementing quantum dimensionality reduction for non-Markovian stochastic simulation.
CoRR, 2022

2021
Operational applications of the diamond norm and related measures in quantifying the non-physicality of quantum maps.
Quantum, 2021

A new formulation of gradient boosting.
Mach. Learn. Sci. Technol., 2021

Quantum adaptive agents with efficient long-term memories.
CoRR, 2021

Quantum-inspired identification of complex cellular automata.
CoRR, 2021

2020
Thermodynamic Machine Learning through Maximum Work Production.
CoRR, 2020

Boosting on the shoulders of giants in quantum device calibration.
CoRR, 2020

2019
Robust inference of memory structure for efficient quantum modelling of stochastic processes.
CoRR, 2019

Extreme dimensional compression with quantum modelling.
CoRR, 2019

2017
The classical-quantum divergence of complexity in modelling spin chains.
Quantum, 2017

2010
An efficient computational method for the optimal control of higher dimensional quantum systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010