Lectures

Theoretische Physik Ia: Rechenmethoden der Mechanik

Dien. 10 - 12 Uhr im Geb. C4 4, Raum 0.01 

Don. 10 - 12 Uhr im Geb. E2 5, Raum 0.01 (Hörsaal 1)

LsF-Nummer: 158953

Previous Semesters

Link to past lectures

Quantum Algorithms and Quantum Error Correction

Summer Semester 2025

This lecture introduces students to basics of quantum information science and to several quantum computing algorithms with a focus on those that can be implemented on current and near-term quantum hardware. The lecture also introduces quantum error correction. Students acquire a practical knowledge of quantum computer programming using Qiskit.

Brief Syllabus

  • Introduction to quantum information with focus on description of noisy quantum hardware
    • Density operator, quantum entanglement, Schmidt decomposition, purification, distance measures
    • Quantum channels, gate fidelity
  • Quantum circuits, decomposition into discrete set of native gates
  • Quantum algorithms
  • Quantum error correction: general conditions for QEC, Shor code, CSS codes, stabilizer formalism, fault-tolerancy
  • Practical implementation of the discussed algorithms using open source software packages and toolkits

Sommersemester 2024

Theoretische Physik 1b: Klassische Mechanik

Veranstaltungsnummer: 148951

Die Vorlesung ist eine Einführung in die analytische Mechanik und behandelt die folgenden Themen: Newtonsche Gesetze, Spezielle Relativitätstheorie, Lagrangeformalismus, Hamiltonsches Prinzip, Symmetrien und Erhaltungsgrößen, Zentralkraftbewegungen, Starrer Körper, Lineare Schwingungen,  Hamiltonformalismus, Hamilton-Jacobi Theorie, Komplexe Systeme

Empfohlene Lehrbücher sind: 

  • John R. Taylor, “Klassische Mechanik”
  • Friedhelm Kuypers, “Klassische Mechanik”
  • T.M. Helliwell, V. V. Sahakian, “Modern Classical Mechanics”

Empfohlenes Lehrbuch zur benötigten Mathematik: 

  • R. Shankar, “Basic Training in Mathematics”

"Applied Quantum Information Science: Quantum algorithms and error correction"

This lecture introduces students to quantum computing algorithms with a focus on those that can be implemented on current quantum hardware. The lecture also covers quantum error mitigation and quantum error correction. Students acquire a practical knowledge of quantum computer programming using Qiskit.

Brief Syllabus

  • Introduction to quantum information with focus on description of noisy quantum hardware
    • Density operator, quantum entanglement, Schmidt decomposition, purification, distance measures
    • Quantum channels, gate fidelity
  • Quantum noise tomography: state tomography and gate tomography
  • Algorithms for optimization and Hamiltonian simulation (Trotterization)
  • NISQ quantum algorithms: hybrid quantum-classical algorithms, variational quantum algorithms
  • Quantum error mitigation
  • Quantum error correction: general conditions for QEC, Shor code, CSS codes, stabilizer formalism, fault-tolerancy
  • Practical implementation of quantum computing algorithms, tomography, error mitigation and correction using open source software packages and toolkits

Link to LSF

Link to Past Lectures