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Found 5 papers, 1 papers with code
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.
Boosting on the shoulders of giants in quantum device calibration
Here we introduce a new approach to machine learning that is able to leverage prior scientific discoveries in order to improve generalizability over a scientific model.
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
One-shot entanglement distillation beyond LOCC
We show in particular that the $\varepsilon$-error one-shot distillable entanglement of any pure state is the same under all sets of operations ranging from one-way LOCC to separability-preserving operations or operations preserving the set of states with positive partial transpose, and can be computed exactly as a quadratically constrained linear program.
Quantum Physics Mathematical Physics Mathematical Physics
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
