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...
Current Research Directions
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...