QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning.
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
Quantum-optimal information encoding using noisy passive linear optics.
Quantum, January, 2024
Classically Spoofing System Linear Cross Entropy Score Benchmarking.
CoRR, 2024
Engines for predictive work extraction from memoryful quantum stochastic processes.
Quantum, December, 2023
Implementing quantum dimensionality reduction for non-Markovian stochastic simulation.
CoRR, 2022
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
Thermodynamic Machine Learning through Maximum Work Production.
CoRR, 2020
Boosting on the shoulders of giants in quantum device calibration.
CoRR, 2020
Robust inference of memory structure for efficient quantum modelling of stochastic processes.
CoRR, 2019
Extreme dimensional compression with quantum modelling.
CoRR, 2019
The classical-quantum divergence of complexity in modelling spin chains.
Quantum, 2017
An efficient computational method for the optimal control of higher dimensional quantum systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010