56 citations · 209 across the 13 of their papers we have counts for
13 papers
Rare Event Analysis of Large Language Models
Jake McAllister Dorman, Edward Gillman, Dominic C. Rose +2
Being probabilistic models, during inference large language models (LLMs) display rare events: behaviour that is far from typical but highly significant. By definition all rare eve…
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
Edward Gillman, Dominic C. Rose, Juan P. Garrahan
We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimisation tasks. We consider the RL actor-critic method, a…
Using (1 + 1)D Quantum Cellular Automata for Exploring Collective Effects in Large Scale Quantum Neural Networks
Edward Gillman, Federico Carollo, Igor Lesanovsky
Central to the field of quantum machine learning is the design of quantum perceptrons and neural network architectures. A key question in this regard is the impact of quantum effec…
Asynchronism and nonequilibrium phase transitions in D quantum cellular automata
Edward Gillman, Federico Carollo, Igor Lesanovsky
Probabilistic cellular automata provide a simple framework for the exploration of classical nonequilibrium processes. Recently, quantum cellular automata have been proposed that re…
Quantum and classical temporal correlations in Quantum Cellular Automata
Edward Gillman, Federico Carollo, Igor Lesanovsky
We employ -dimensional quantum cellular automata to study the evolution of entanglement and coherence near criticality in quantum systems that display non-equilibrium stea…
Numerical Simulation of Critical Quantum Dynamics without Finite Size Effects
Edward Gillman, Federico Carollo, Igor Lesanovsky
Classical cellular automata, as for instance Domany-Kinzel cellular automata, are paradigmatic systems for the study of non-equilibrium phenomena. Such systems evolve in d…