Course title:
Quantum Information Processing
Primary programme:
Fizikus mérnök BSc
ECTS credits:
3
Course type:
elective
Number of lectures per week:
2
Number of practices per week:
0
Number of laboratory exercises per week:
0
Further knowledge transfer methods:
-
Grading:
Examination
Special grading methods:
-
Semester:
6
Prerequisites:
Modern Physics
Responsible lecturer:
Dr. András Pályi, associate professor, PhD
Lecturers and instructors:
Course description:
Introductory course to quantum information theory quantum algorithms, quantum programming. (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, Quantum Phase Estimation. (8) Shor's algorithm. (9) Quantum Simulation. (10) Classical Error Correction. (11) Quantum Error Correction. (12) Bell inequalities. (13) Quantum Key Distribution.
Reading materials:
Qiskit Textbook, https://qiskit.org/textbook/preface.html
Michael A. Nielsen, Isaac L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 10th Anniversary Edition, 2010, ISBN 978-1107002173
List of competences:
Please find the detailed list, as quoted from the Hungarian training and outcome requirements of the Physicist Engineer program, in the Hungarian version of the course description.