Michael Koehl

About Michael Koehl

Michael Koehl, With an exceptional h-index of 45 and a recent h-index of 30 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of quantum physics, atomic physics, ultracold gases, condensed matter physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Floquet-driven crossover from density-assisted tunneling to enhanced pair tunneling

Exciting the Higgs mode in a strongly-interacting Fermi gas by interaction modulation

Coupled high-finesse optical Fabry-Perot microcavities

Machine learning the phase diagram of a strongly interacting Fermi gas

Employing Supervised and Unsupervised Machine Learning Techniques to Detect the Superfluid Phase Transition of a Strongly Interacting Fermi Gas

Detecting the phase transition in a strongly interacting Fermi gas by unsupervised machine learning

Radio-frequency driving of an attractive Fermi gas in a one-dimensional optical lattice

Achievements and perspectives of optical fiber Fabry–Perot cavities

Michael Koehl Information

University

Position

___

Citations(all)

12302

Citations(since 2020)

2833

Cited By

10926

hIndex(all)

45

hIndex(since 2020)

30

i10Index(all)

67

i10Index(since 2020)

52

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

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Michael Koehl Skills & Research Interests

quantum physics

atomic physics

ultracold gases

condensed matter physics

Top articles of Michael Koehl

Title

Journal

Author(s)

Publication Date

Floquet-driven crossover from density-assisted tunneling to enhanced pair tunneling

arXiv preprint arXiv:2404.08482

Nick Klemmer

Janek Fleper

Valentin Jonas

Ameneh Sheikhan

Corinna Kollath

...

2024/4/12

Exciting the Higgs mode in a strongly-interacting Fermi gas by interaction modulation

arXiv preprint arXiv:2401.14822

Andreas Kell

Moritz Breyer

Daniel Eberz

Michael Köhl

2024/1/26

Coupled high-finesse optical Fabry-Perot microcavities

Physical Review A

Steffen Gohlke

Thorsten F Langerfeld

Andrea Bergschneider

Michael Köhl

2024/1/19

Machine learning the phase diagram of a strongly interacting Fermi gas

Physical Review Letters

M Link

K Gao

A Kell

M Breyer

D Eberz

...

2023/5/16

Employing Supervised and Unsupervised Machine Learning Techniques to Detect the Superfluid Phase Transition of a Strongly Interacting Fermi Gas

APS March Meeting Abstracts

Daniel Eberz

Moritz Breyer

Andreas Kell

Michael Köhl

Martin Link

2023

Detecting the phase transition in a strongly interacting Fermi gas by unsupervised machine learning

Physical Review A

D Eberz

M Link

A Kell

M Breyer

K Gao

...

2023/12/4

Radio-frequency driving of an attractive Fermi gas in a one-dimensional optical lattice

Physical Review A

Johannes Kombe

Michael Köhl

Corinna Kollath

Jean-Sébastien Bernier

2022/2/28

Achievements and perspectives of optical fiber Fabry–Perot cavities

Hannes Pfeifer

Lothar Ratschbacher

Jose Gallego

Carlos Saavedra

Alexander Faßbender

...

2022/2

A compact and fast magnetic coil for the manipulation of quantum gases with Feshbach resonances

Review of Scientific Instruments

A Kell

M Link

M Breyer

A Hoffmann

M Köhl

...

2021/9/1

Decay and revival of a transient trapped Fermi condensate

Physical Review Research

Timothy Harrison

Martin Link

Alexandra Behrle

Kuiyi Gao

Andreas Kell

...

2021/6/11

Non-equilibrium dynamics of driven Fermi Condensates using three species

Bulletin of the American Physical Society

Johannes Kombe

Corinna Kollath

Kuiyi Gao

Michael Koehl

2021/6/3

Deterministic spin-photon entanglement from a trapped ion in a fiber Fabry–Perot cavity

npj Quantum Information

Pascal Kobel

Moritz Breyer

Michael Köhl

2021/1/22

Secure distribution of a certified random quantum key using an entangled memory qubit

arXiv preprint arXiv:2111.14523

Pascal Kobel

Ralf A Berner

Michael Köhl

2021/11/29

Competing magnetic orders in a bilayer Hubbard model with ultracold atoms

Nature

Marcell Gall

Nicola Wurz

Jens Samland

Chun Fai Chan

Michael Köhl

2021/1

Pair correlations in the attractive Hubbard model

Physical Review Research

CF Chan

M Gall

N Wurz

M Köhl

2020/5/21

Exponentially improved detection and correction of errors in experimental systems using neural networks

arXiv preprint arXiv:2005.09119

Pascal Kobel

Martin Link

Michael Köhl

2020/5/18

Simulating a Mott insulator using attractive interaction

Physical review letters

M Gall

CF Chan

N Wurz

M Köhl

2020/1/8

See List of Professors in Michael Koehl University(Rheinische Friedrich-Wilhelms-Universität Bonn)