Lehrveranstaltungen in Stud.IP

aktuelles Semester
link to course in Stud.IP Studip_icon
Seminare.EIM: From non-classical quantum phenomena to quantum computing (CSBS, IIWBS, TMBS, CSMS, IIWMS)
Semester:
WiSe 23/24
Course type:
Seminar
Lecturer:
Dr. Anna Katharina Kirf, Prof. Dr. Martin Kliesch
Description:
There are many phenomena in quantum physics that cannot be explained with a classical understanding of Nature. These phenomena can be exploited to develop novel, powerful quantum information processing methods, which include the development of quantum computers. They can be used to run quantum algorithms with which one can efficiently solve problems that seem intractable with usual computation. Quantum computation has many potential applications, e.g., in material science, quantum chemistry, and combinatorial optimization. In this course, we aim to develop a deeper understanding of quantum phenomena. In order to do so, we start with some basics from classical probability and information theory. Then, we first see some non-classical phenomena, such as the no-cloning theorem (quantum information cannot be copied) and entanglement, to name just two basic examples. Potential topics for the end of the course are selected quantum algorithms, examples from quantum communication, and quantum error correction. This course has an emphasis on conceptual aspects of the topic, and we try to avoid technical discussions. Nevertheless, a solid mathematical understanding is required. The first part of the seminar requires no prior knowledge of quantum mechanics, which can be obtained in the course `Introduction to Quantum Computing' in parallel.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Registered participants in Stud.IP: 7
Documents: 9
voriges Semester
link to course in Stud.IP Studip_icon
Seminare.EIM: From non-classical quantum phenomena to quantum computing (CSBS, IIWBS, TMBS, CSMS, IIWMS)
Semester:
WiSe 23/24
Course type:
Seminar
Lecturer:
Dr. Anna Katharina Kirf, Prof. Dr. Martin Kliesch
Description:
There are many phenomena in quantum physics that cannot be explained with a classical understanding of Nature. These phenomena can be exploited to develop novel, powerful quantum information processing methods, which include the development of quantum computers. They can be used to run quantum algorithms with which one can efficiently solve problems that seem intractable with usual computation. Quantum computation has many potential applications, e.g., in material science, quantum chemistry, and combinatorial optimization. In this course, we aim to develop a deeper understanding of quantum phenomena. In order to do so, we start with some basics from classical probability and information theory. Then, we first see some non-classical phenomena, such as the no-cloning theorem (quantum information cannot be copied) and entanglement, to name just two basic examples. Potential topics for the end of the course are selected quantum algorithms, examples from quantum communication, and quantum error correction. This course has an emphasis on conceptual aspects of the topic, and we try to avoid technical discussions. Nevertheless, a solid mathematical understanding is required. The first part of the seminar requires no prior knowledge of quantum mechanics, which can be obtained in the course `Introduction to Quantum Computing' in parallel.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Registered participants in Stud.IP: 7
Documents: 9

Lehrveranstaltungen

Informationen zu den Lehrveranstaltungen und Modulen entnehmen Sie bitte dem aktuellen Vorlesungsverzeichnis und dem Modulhandbuch Ihres Studienganges.

Modul / Lehrveranstaltung Zeitraum ECTS Leistungspunkte
Modul: Elektrische Energiesysteme I: Einführung in elektrische Energiesysteme WiSe 6
Modul: Elektrische Energiesysteme II: Betrieb und Informationssysteme elektrischer Energienetze WiSe 6
Modul: Elektrische Energiesysteme III: Dynamik und Stabilität elektrischer Energiesysteme SoSe 6
Modul: Elektrotechnik II: Wechselstromnetzwerke und grundlegende Bauelemente SoSe 6
Modul: Elektrotechnisches Projektpraktikum SoSe 6
Modul: Prozessmesstechnik SoSe 4
Modul: Smart-Grid-Technologien WiSe, SoSe 6

Lehrveranstaltung: Seminar zu Elektromagnetischer Verträglichkeit und Elektrischer Energiesystemtechnik

weitere Information

WiSe, SoSe 2

SoSe: Sommersemester
WiSe: Wintersemester