Felix Fehse
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View article: Finding the Dynamics of an Integrable Quantum Many‐Body System via Machine Learning
Finding the Dynamics of an Integrable Quantum Many‐Body System via Machine Learning Open
The dynamics of the Gaudin magnet (“central‐spin model”) is studied using machine‐learning methods. This model is of practical importance, for example, for studying non‐Markovian decoherence dynamics of a central spin interacting with a la…
View article: Finding the Dynamics of an Integrable Quantum Many-Body System via Machine Learning
Finding the Dynamics of an Integrable Quantum Many-Body System via Machine Learning Open
We study the dynamics of the Gaudin magnet ("central-spin model") using machine-learning methods. This model is of practical importance, e.g., for studying non-Markovian decoherence dynamics of a central spin interacting with a large bath …
View article: Generalized fast quasi-adiabatic population transfer for improved qubit readout, shuttling, and noise mitigation
Generalized fast quasi-adiabatic population transfer for improved qubit readout, shuttling, and noise mitigation Open
Population-transfer schemes are commonly used to convert information robustly stored in some quantum system for manipulation and memory into more macroscopic degrees of freedom for measurement. These schemes may include, e.g., spin-to-char…