BMETE11MF42

Course data
Course name: Quantum Information Processing
Neptun ID: BMETE11MF42
Responsible teacher: András Pályi
Programme: Courses for Physicist MSc students
Course data sheet: BMETE11MF42
Requirements, Information

Course information - 2025 Spring semester

  • Lecturer: András Pályi
  • Language: English
  • Location: F building, 2nd floor, lecture hall 13 (F3213)
  • Time: Tuesdays, 12:15-13:45 - first lecture: Feb 11th, Tuesday.

Details

  • Hands-on quantum computing. One goal is to introduce basic concepts of quantum information theory, quantum computing, and quantum communication. Another goal is to provide hands-on experience in programming a quantum computer. That is, the basic concepts, gadgets, algorithms, etc., should be implemented and run by the students themselves, partly during the lectures, partly as homework. We will use the quantum computers of IBM, which are available via the cloud for anyone.
  • Lectures. Lectures will combine conventional, frontal presentation, and programming exercises.
  • Assignments. At each lecture, a number of programming exercises are assigned. You will have to submit your solution (pdf version of your jupyter notebook) until the Sunday following the lecture via Teams. These assignments are mandatory, but they do NOT count in your final evaluation (see below).
  • Evaluation: Oral exam at the end of the semester. (Note that this has changed with respect to earlier editions of the course.)

Course material, 2025

Course material will be published in Teams.

Topics to be covered: Basics of quantum information, python, and qiskit. Quantum teleportation. Bell inequalities. Quantum communication. Quantum state tomography. Quantum algorithms: Bernstein-Vazirani algorithm, Grover's algorithm, Quantum Fourier Transform, Phase Estimation, Shor's algorithm. Errors in quantum computers. Quantum Error Correction.

Course material, 2019

Complete course material of 2019 as a zip file. Major changes will happen in 2025.

  1. Basics: quantum information, python, qiskit
  2. The Bernstein-Vazirani quantum algorithm
  3. Decoherence 1: the density matrix
  4. Decoherence 2: qubit relaxation
  5. Decoherence 3: quantum state tomography
  6. Deutsch-Jozsa and Grover algorithms
  7. Quantum Fourier Transform, Phase Estimation
  8. Shor's algorithm
  9. Quantum Simulation
  10. Classical Error Correction
  11. Quantum Error Correction
  12. Bell inequalities
  13. Quantum Key Distribution