Time: January 30th-February 1st, 2020, 10 am - 5:30 pm
Location: lecture hall B0.32, MPQ Garching

IMPRS-QST and MCQST have teamed up to offer this exciting workshop focused on science communication. The workshop combines theoretical input and learning with hands-on and creative methods in order to provide a framework for deep learning. Three days are divided in two 1-day workshops and one final “team day” which ends in a science show.

The goal is to combine effective skill learning with fun exercises, resulting not only in highly improved communication skills throughout different formats, but also in an engaging science show format. Overall, it will be a great learning and self-improvement experience.

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Time: January 21st, 2020, 10 am - 5 pm
Location: lecture hall B0.32, MPQ Garching

Quantum Monte Carlo (QMC) algorithms are a very useful tool to investigate interacting quantum systems of fermions and/or bosons. They can be applied to realistic model such as graphene in order to study, for example, the velocity renormalization of the Dirac cone due to Coulomb repulsion. QMC methods can also be used to study phase transition in designer models in order to extract universal features such as the critical exponents which, for example, determine the scaling of the specific heat with temperature. This is seminar is planned to contain three parts: (i) an introduction to the fermionic determinantal QMC method, (ii) a discussion of selected application of this method, and (iii) a tutorial to the "Algorithms for Lattice Fermions (ALF)" software package with a hands-on session.
During the first part, the details of the algorithm will be discussed in some detail. This will include the idea of the method, potential pitfalls (such as the sign problem and auto-correlation times) and how to identify those issues. The application of the QMC method to various interacting topological systems will be discussed in the second part. The selection of models includes (1) a two-dimensional system with an isolated narrow topological band at partial filling with local attractive interactions, motivated by the superconducting state in twisted bi-layer graphene, (2) local moments, which may form a quantum spin liquid, that are Kondo-coupled to a Dirac semi-metal, and if time permits (3) the reduction of the non-interacting topological classification in the presence of correlations. The last part is going to be a hands-on tutorial about our free and publicly available software package ALF. This includes the compilation and simulation of predefined models, simple modifications and/or additions of observables, as well as a discussion of all code sections that are relevant to a new user-defined model system. more

The MCQST Colloquium Series features interdisciplinary talks given by visiting international speakers.

For the X-Mas Colloquium on December 11th, MCQST members and IMPRS-QST students have accepted the challenge of presenting their research projects in short talks taillored for both scientific and non-scienttific MCQST community. We are excited about this special edition and look forward to their engaging talks.

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Jointly organized by IMPRS-QST and IMPRS-APS in cooperation with the TK health insurance.

The seminars of this training are designed for the specific situations and needs of doctoral researchers and geared to help you understand stress, as well as how to protect yourself from its negative effects. You will learn different approaches to stress management, practice several relaxation methods and get useful tools beneficial for both your professional and private life.

Time: June 18th-19th, 2019
Location: seminar room E0.11, MPA Garching

These lectures covered the main machine learning techniques adopted to study interacting quantum systems. First the concept of neural-network quantum states, a representation of the many-body wave-function based on artificial neural networks was introduced. Then, it was shown how these representations can be used in a variety of applications, including examples for data-driven, experimental analysis in the context of quantum state tomography. It was also shown how these states can be used in variational applications to theoretically study the physical properties of interacting many-body quantum systems both at equilibrium and out-of-equilibrium. The lectures were followed by hands-on sessions, based on the open-source software NetKet.

Time: Wednesday, December 5th, 4:30 pm
Location: MPQ lecture hall, B 0.32

The talk discussed the history of Maxwell’s Demon, the Second Law of Thermodynamics, and its connection to Information Theory. It showed how these concepts can be explained to non-physicists in a comic book of an adventure story called “Max the Demon vs Entropy of Doom’’

A joint workshop with the primary goal of establishing connections between the students from the three institutions and stimulate discussions among them. The program included talks by two PIs of each institution: Immanuel Bloch and Matthias Punk from IMPRS-QST, Johannes Fink and Jörg Schmiedmayer from CoQus and Lauriane Chomaz and Wolfgang Lechner from Innsbruck. Moreover, Klaus Sengstock from the University of Hamburg also gave a presentation on his exciting research!

Location: MPQ lecture hall B 0.32

For a long time, and even after the Feynman diagrams and rules were publicly known, Feynman's approach to quantum electrodynamics remained largely private. For this reason, its stupendous efficiency sounded like magic to most of his contemporaries. The purpose of this essay is to bring out the hidden contrivances of this magic.

Photonic quantum technologies: From foundations to applications

Furthering your career:
- Postdoc opportunities in the Alexander von Humboldt Foundation’s global network
- Research management: An alternative for you?

Non-Equilibrium Dynamics of Quantum Many-Body Systems: Irreversibility and the Quantum Butterfly Effect

From Newton Nonlocality to Quantum Teleportation

During their undergraduate and graduate studies, physicists acquire a broad set of transferable skills which make many career paths available, also outside of academia.
After a postdoc in condensed matter theory, Dr. Susanne Pielawa joined a start-up as an early employee, and developed algorithms for a 3D-model search engine. She is now a Software Engineer at Google Munich.

A joint initiative of four International Max Planck Research School, including IMPRS-QST. more

Entropy is a central quantity in information theory, probability and physics. This spring school dealt with fundamental concepts and basic operational interpretations of entropy with a particular focus on applications to quantum mechanics.