Kolloquien

Die Gastvorträge im Rahmen des MPQ-Kolloquiums finden von April bis Juli sowie von Oktober bis Januar jeweils dienstags um 14:30 Uhr statt. Verantaltungsort ist der Herbert-Walther-Hörsaal im Foyer des Max-Planck-Instituts für Quantenoptik.

Ansprechpartner für die wissenschaftliche Organisation:

Dr. Stephan Dürr und Dr. Thomas Udem

Wenn Sie einen Vortrag im Livestream verfolgen möchten, ist es nötig, dass Sie sich in eine entsprechende Mailing Liste eintragen. Daraufhin erhalten Sie Instruktionen zum Empfang des Livestreams.

The molecular composition of systemic biofluids is a sensitive indicator of human physiological states, very relevant for disease detection and health monitoring. Thus, the capability of observing signatures of miniscule changes in concentration of a wide variety of molecules embedded in complex organic consortia of liquid biopsies is crucial for advancing systems biology and medical diagnostics. [mehr]

Double Feature: Anomalous Floquet phases in periodically-driven hexagonal lattices (M.Sc. Karen Wintersperger)

Double Feature: Anomalous Floquet phases in periodically-driven hexagonal lattices
Ultracold atoms in periodically-driven optical lattices can be used to simulate systems with nontrivial topological properties. Due to the periodic driving, energy conservation is relaxed which makes it possible to realize systems with properties that go beyond those of conventional static systems. For instance, chiral edge modes can exists even if the bulk is topologically trivial [1]. [mehr]

T First neutrino mass results from KATRIN (Dr. Thierry Lasserre)

T First neutrino mass results from KATRIN
The KATRIN experiment is designed to directly probe the mass of neutrinos with a sensitivity of 0.2 eV (90% CL). KATRIN offers a model-independent approach based principally on the kinematics of tritium beta decay. [mehr]

Double feature: Bridging machine learning and quantum physics with tensor Networks (Dr. Ivan Glasser)

Double feature: Bridging machine learning and quantum physics with tensor Networks
Finding efficient representations of high-dimensional functions is a central problem in both machine learning and the simulation of quantum many-body systems. [mehr]
Recent experimental advancement in the field of optical cavity QED comprises two directions of development: A further reduction of the mode volumes of the resonators, as with the development of fiber-based Fabry-Perot cavities (FFPCs) [1], and an increase in the number of well-controlled modes the emitters can couple to [2, 3]. [mehr]
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