# Reinforcement Learning to Control the Quantum Kapitza Oscillator

A Reinforcement Learning agent figures out how to Control Floquet-Engineered Quantum States in a numerical simulation of a...

A Reinforcement Learning agent figures out how to Control Floquet-Engineered Quantum States in a numerical simulation of a...

We present evidence for a universal spin-glass-like transition in the quantum control landscape, controlled by the control protocol...

A comprehensive Review Paper on Deep Learning techniques and concepts useful in physics: “A High-Bias, Low-Variance Introduction to...

A Reinforcement Learning agent learns to Prepare Quantum States in a non-integrable Ising chain. With no prior knowledge...

A physical way to characterize the complexity of preparing quantum states is the quantum speed limit – the...

Floquet engineering is an established technique from the quantum simulation toolbox, with the present bottleneck set by unwanted...

Recent surge of activity in Periodically Driven many-body Systems has spawned a new branch of quantum physics, known...

Control problems are optimisation tasks with the objective to find the most efficient solution satisfying given constraints. We...