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...
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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**](https://arxiv.org/abs/1803.08823) 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...
The ability to simulate quantum systems offers invaluable opportunities for building up intuition and understanding of the bizzare...