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Institute of Electrical Power and Energy Technology
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IEET > Staff > Research Assistants > Leon Maximilian Helmich, M.Sc.

Leon Maximilian Helmich

M.Sc.
Research Assistant

Contact

Leon Maximilian Helmich
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.005
Phone: +49 40 42878 2379
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Research Project

iTherNet
Intelligent Thermal Networks - New cooling technologies and energy-optimized operating concepts

iTherNet

Intelligent Thermal Networks - New cooling technologies and energy-optimized operating concepts

 Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2020 - 2023

to the project page

Publications

TUHH Open Research (TORE)

2023

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Introduction to Quantum Computing (VL)
Untertitel:
Lecture & Exercise
Semester:
WiSe 23/24
Veranstaltungsart:
Lecture & Exercise
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv3109_w23
DozentIn:
Prof. Dr. Martin Kliesch
Beschreibung:
Lecture & Exercise Quantum computing is among the most exciting applications of quantum mechanics. Quantum algorithms can solve computational problems efficiently that have a prohibitive runtime on traditional computers. Such problems include, for instance, factoring of integer numbers or energy estimation problems from quantum chemistry and material science. This course provides an introduction to the topic. An emphasize will be put on conceptual and mathematical aspects. Outline: Information theoretic introduction to quantum mechanics The quantum teleportation protocol Basic algorithms The quantum Fourier transform and Shor’s algorithm for integer factoring The unitary circuit model of quantum computation (qubits, quantum gates and readout) and the complexity class BQP Goal: - Rigorous understanding of how quantum algorithms work and the ability to analyze them - Connection of concepts in quantum mechanics and computer science - Basic knowledge required to start programming a quantum computerAbility to solve exercises related to quantum algorithms and to present the solutions
Voraussetzungen:
Desirable: basic knowledge in computability and complexity theory Required: very good knowledge in linear algebra (incl. complex numbers), good mathematical understanding
Lernorganisation:
Active participtation in the problem sheets.
Leistungsnachweis:
Graded written or oral exam at the end of the lecture. The details of the examination and the admission requirements are announced by the lecturer at the beginning of the module.
Sonstiges:
- Course specific lecture notes will be provided
- Nielsen and Chuang, Quantum Computation and Quantum Information
- Sevag Gharibian’s lecture notes
ECTS-Kreditpunkte:
6
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Quantum Inspired and Quantum Optimization (E-25)
In Stud.IP angemeldete Teilnehmer: 70
Anzahl der Postings im Stud.IP-Forum: 24

Supervised Theses

ongoing

2024

  • Eberhard, F. (2024). Estimating AC and DC losses in the inductor of a switch mode power supply..

completed
TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 22a
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
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