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Monday, 06 October 2025
© open AI
9:00 
KSQM Fall School - Optics & Condensed Matter Physics
Seminar
Room 223
Building 10.11 …
KIT Professors and Postdocs

KSQM Fall School 2025 
 
We are excited to invite all KSQM fellows and beyond to this year’s Fall School, dedicated to cutting-edge topics in optics and condensed matter physics. This is a unique opportunity to deepen your understanding, connect with fellow researchers, and explore advanced experimental techniques at KIT.
 
 Highlights: Lectures by KIT Professors
Covering key topics in Optics and Superconductivity
Special Session & Lab Tour
With the Post-Lithium Battery Research Group at KIT
Postdoc Seminars
A series of in-depth talks by KIT postdoctoral researchers, offering deeper insights into:
Superconducting Circuits Carbon Nanotube SQUIDs Low-Temperature Scanning Tunneling Microscopy (STM) Whether you're looking to broaden your theoretical foundation or get inspired by hands-on research, the KSQM Fall School offers a rich and stimulating environment for learning and exchange.
  Monday 6th Tuesday 7th Wednesday 8th 8:45   Meet in Campus Ost   9:00 Opening (Prof. Markus Garst) Lecture 3.1 @ WBK Research Factory, CO
1h30 (David Kraus POLIS) Lecture 2.1 Theory of Superconductivity: Macroscopic Coherence and Topology (Prof Jörg Schmalian) 9:15 Lecture 1.1 - Introduction to Quantum Optics  (Prof David Hunger) 9:30 9:45 10:00 10:15 10:30 Break 10:45 11:00 Lecture 1.2 - Introduction to Quantum Optics  (Prof David Hunger) Lecture 3.2 Post lithium ion battery (David Kraus) Lecture 2.2
Theory of Superconductivity: Macroscopic Coherence and Topology  (Prof Jörg Schmalian) 11:15 11:30 11:45 POLIS Research Factory Tour 12:00 12:15 12:30 Lunch (Mensa) Return to Campus South Lunch (Mensa) 12:45 Lunch (Mensa) 13:00 13:15 13:30 13:45 Magnetic-field induced superconductivity in the heavy fermion systems (Dr. Tristan Thebault) Hard X-ray Photoelectron Spectroscopy on iridate  (Dr. Ji Soo Lim) 14:00 Lecture 4.1
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel) 14:15 14:30 14:45 Break Break 15:00 15:15 Beyond Heisenberg exchange (When spins refuse to align) (Dr. Singh Charanpreet) Quantum circuits with carbon nanotubes (Dr.Tino Cubaynes) 15:30 Break 15:45 16:00 Lecture 4.2
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel)  16:15 Break Closing 16:30 16:45 Superconducting qubit readout and its difficulties  (Dr. Mathieu Fechant)   17:00 17:15 17:30 Break 17:45 Break 18:00 Unofficial Meetup and Games Night at a Bar 18:15 Buffet Dinner (hosted by KSQM) and Poster Roulette   
 

Tuesday, 07 October 2025
© open AI
9:00 
KSQM Fall School - Optics & Condensed Matter Physics
Seminar
Room 223
Building 10.11 …
KIT Professors and Postdocs

KSQM Fall School 2025 
 
We are excited to invite all KSQM fellows and beyond to this year’s Fall School, dedicated to cutting-edge topics in optics and condensed matter physics. This is a unique opportunity to deepen your understanding, connect with fellow researchers, and explore advanced experimental techniques at KIT.
 
 Highlights: Lectures by KIT Professors
Covering key topics in Optics and Superconductivity
Special Session & Lab Tour
With the Post-Lithium Battery Research Group at KIT
Postdoc Seminars
A series of in-depth talks by KIT postdoctoral researchers, offering deeper insights into:
Superconducting Circuits Carbon Nanotube SQUIDs Low-Temperature Scanning Tunneling Microscopy (STM) Whether you're looking to broaden your theoretical foundation or get inspired by hands-on research, the KSQM Fall School offers a rich and stimulating environment for learning and exchange.
  Monday 6th Tuesday 7th Wednesday 8th 8:45   Meet in Campus Ost   9:00 Opening (Prof. Markus Garst) Lecture 3.1 @ WBK Research Factory, CO
1h30 (David Kraus POLIS) Lecture 2.1 Theory of Superconductivity: Macroscopic Coherence and Topology (Prof Jörg Schmalian) 9:15 Lecture 1.1 - Introduction to Quantum Optics  (Prof David Hunger) 9:30 9:45 10:00 10:15 10:30 Break 10:45 11:00 Lecture 1.2 - Introduction to Quantum Optics  (Prof David Hunger) Lecture 3.2 Post lithium ion battery (David Kraus) Lecture 2.2
Theory of Superconductivity: Macroscopic Coherence and Topology  (Prof Jörg Schmalian) 11:15 11:30 11:45 POLIS Research Factory Tour 12:00 12:15 12:30 Lunch (Mensa) Return to Campus South Lunch (Mensa) 12:45 Lunch (Mensa) 13:00 13:15 13:30 13:45 Magnetic-field induced superconductivity in the heavy fermion systems (Dr. Tristan Thebault) Hard X-ray Photoelectron Spectroscopy on iridate  (Dr. Ji Soo Lim) 14:00 Lecture 4.1
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel) 14:15 14:30 14:45 Break Break 15:00 15:15 Beyond Heisenberg exchange (When spins refuse to align) (Dr. Singh Charanpreet) Quantum circuits with carbon nanotubes (Dr.Tino Cubaynes) 15:30 Break 15:45 16:00 Lecture 4.2
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel)  16:15 Break Closing 16:30 16:45 Superconducting qubit readout and its difficulties  (Dr. Mathieu Fechant)   17:00 17:15 17:30 Break 17:45 Break 18:00 Unofficial Meetup and Games Night at a Bar 18:15 Buffet Dinner (hosted by KSQM) and Poster Roulette   
 

Wednesday, 08 October 2025
© open AI
9:00 
KSQM Fall School - Optics & Condensed Matter Physics
Seminar
Room 223
Building 10.11 …
KIT Professors and Postdocs

KSQM Fall School 2025 
 
We are excited to invite all KSQM fellows and beyond to this year’s Fall School, dedicated to cutting-edge topics in optics and condensed matter physics. This is a unique opportunity to deepen your understanding, connect with fellow researchers, and explore advanced experimental techniques at KIT.
 
 Highlights: Lectures by KIT Professors
Covering key topics in Optics and Superconductivity
Special Session & Lab Tour
With the Post-Lithium Battery Research Group at KIT
Postdoc Seminars
A series of in-depth talks by KIT postdoctoral researchers, offering deeper insights into:
Superconducting Circuits Carbon Nanotube SQUIDs Low-Temperature Scanning Tunneling Microscopy (STM) Whether you're looking to broaden your theoretical foundation or get inspired by hands-on research, the KSQM Fall School offers a rich and stimulating environment for learning and exchange.
  Monday 6th Tuesday 7th Wednesday 8th 8:45   Meet in Campus Ost   9:00 Opening (Prof. Markus Garst) Lecture 3.1 @ WBK Research Factory, CO
1h30 (David Kraus POLIS) Lecture 2.1 Theory of Superconductivity: Macroscopic Coherence and Topology (Prof Jörg Schmalian) 9:15 Lecture 1.1 - Introduction to Quantum Optics  (Prof David Hunger) 9:30 9:45 10:00 10:15 10:30 Break 10:45 11:00 Lecture 1.2 - Introduction to Quantum Optics  (Prof David Hunger) Lecture 3.2 Post lithium ion battery (David Kraus) Lecture 2.2
Theory of Superconductivity: Macroscopic Coherence and Topology  (Prof Jörg Schmalian) 11:15 11:30 11:45 POLIS Research Factory Tour 12:00 12:15 12:30 Lunch (Mensa) Return to Campus South Lunch (Mensa) 12:45 Lunch (Mensa) 13:00 13:15 13:30 13:45 Magnetic-field induced superconductivity in the heavy fermion systems (Dr. Tristan Thebault) Hard X-ray Photoelectron Spectroscopy on iridate  (Dr. Ji Soo Lim) 14:00 Lecture 4.1
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel) 14:15 14:30 14:45 Break Break 15:00 15:15 Beyond Heisenberg exchange (When spins refuse to align) (Dr. Singh Charanpreet) Quantum circuits with carbon nanotubes (Dr.Tino Cubaynes) 15:30 Break 15:45 16:00 Lecture 4.2
Scanning tunnelling microscopy and spectroscopy: from the basics to the state-of-the-art given by Professor Wulfhekel (Prof Wulf Wulfhekel)  16:15 Break Closing 16:30 16:45 Superconducting qubit readout and its difficulties  (Dr. Mathieu Fechant)   17:00 17:15 17:30 Break 17:45 Break 18:00 Unofficial Meetup and Games Night at a Bar 18:15 Buffet Dinner (hosted by KSQM) and Poster Roulette   
 

Thursday, 09 October 2025
© OpenAI
9:00 - 13:00 
Data Analysis – Big Data Management
Workshop
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS

 
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
 
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

Thursday, 16 October 2025
© OpenAI
9:00 - 13:00 
Data Analysis – Big Data Management
Workshop
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS

 
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
 
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

Thursday, 23 October 2025
© OpenAI
9:00 - 13:00 
Data Analysis – Big Data Management
Workshop
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS

 
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
 
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.

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