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Quantum adaptive agents with efficient long-term memories
Central to the success of adaptive systems is their ability to interpret signals from their environment and respond accordingly -- they act as agents interacting with their surroundings.
Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models
Stochastic modelling is an essential component of the quantitative sciences, with hidden Markov models (HMMs) often playing a central role.
Extreme dimensionality reduction with quantum modelling
This represents the ultimate limit of quantum compression and highlights an immense practical advantage of quantum technologies for the forecasting and simulation of complex systems.
Dimensionality Reduction
Quantum Physics
Statistical Mechanics
Information Theory
Information Theory
Superior memory efficiency of quantum devices for the simulation of continuous-time stochastic processes
Classical models of systems operating in continuous-time must typically track an unbounded amount of information about past behaviour, even for relatively simple models, enforcing limits on precision due to the finite memory of the machine.
Quantum Physics Statistical Mechanics
