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20182026
most citedUnsupervised identification of topological order using predictive models

67 citations · 243 across the 16 of their papers we have counts for

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5 papers · 1 filter

quant-ph2023★ 15 cited

Mapping out phase diagrams with generative classifiers

Julian Arnold, Frank Schäfer, Alan Edelman +1

One of the central tasks in many-body physics is the determination of phase diagrams. However, mapping out a phase diagram generally requires a great deal of human intuition and un…

quant-ph2023

Performance Bounds for Quantum Feedback Control

Flemming Holtorf, Frank Schäfer, Julian Arnold +2

The limits of quantum feedback control have immediate consequences for quantum information science at large, yet remain largely unexplored. Here, we combine quantum filtering theor…

quant-ph2021★ 18 cited

Control of Stochastic Quantum Dynamics by Differentiable Programming

Frank Schäfer, Pavel Sekatski, Martin Koppenhöfer +2

Control of the stochastic dynamics of a quantum system is indispensable in fields such as quantum information processing and metrology. However, there is no general ready-made appr…

quant-ph2020★ 50 cited

A differentiable programming method for quantum control

Frank Schäfer, Michal Kloc, Christoph Bruder +1

Optimal control is highly desirable in many current quantum systems, especially to realize tasks in quantum information processing. We introduce a method based on differentiable pr…

quant-ph2019★ 67 cited

Unsupervised identification of topological order using predictive models

Eliska Greplova, Agnes Valenti, Gregor Boschung +3

Machine-learning driven models have proven to be powerful tools for the identification of phases of matter. In particular, unsupervised methods hold the promise to help discover ne…