768 citations · 1.5k across the 28 of their papers we have counts for
5 papers · 1 filter
The Quantum Cartpole: A benchmark environment for non-linear reinforcement learning
Kai Meinerz, Simon Trebst, Mark Rudner +1
Feedback-based control is the de-facto standard when it comes to controlling classical stochastic systems and processes. However, standard feedback-based control methods are challe…
Efficient adaptive Bayesian estimation of a slowly fluctuating Overhauser field gradient
Jacob Benestad, Jan A. Krzywda, Evert van Nieuwenburg +1
Slow fluctuations of Overhauser fields are an important source for decoherence in spin qubits hosted in III-V semiconductor quantum dots. Focusing on the effect of the field gradie…
Real-time two-axis control of a spin qubit
Fabrizio Berritta, Torbjørn Rasmussen, Jan A. Krzywda +9
Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-trip…
Data-driven decoding of quantum error correcting codes using graph neural networks
Moritz Lange, Pontus Havström, Basudha Srivastava +6
To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have an efficient and accurate decoder. Accurate, maximum likelihood, decoders are comp…
Explainable Representation Learning of Small Quantum States
Felix Frohnert, Evert van Nieuwenburg
Unsupervised machine learning models build an internal representation of their training data without the need for explicit human guidance or feature engineering. This learned repre…