SubjectsSubjects(version: 985)
Course, academic year 2021/2022
  
   
Quantum Computers and Algorithms - AP403023
Title: Quantum Computers and Algorithms
Podoba výuky: lecture+practicals
Guaranteed by: Department of Physical Chemistry (403)
Faculty: Faculty of Chemical Engineering
Actual: from 2019
Kolik má semestrů: 1
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 2/1, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Maximální kapacita předmětu: unlimited
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Enroll for the course repeatedly: - / - / - / 9
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Pittner Jiří doc. Mgr. Dr.rer.nat., DSc.
Classification: Informatics > Programming
Interchangeability : P403023
Examination dates   Schedule   
Annotation -
This one-semester course is aimed for Ph.D. students interested in quantum computers, quantum algorithms and quantum information theory, with an accent towards their application to simulations of physical and physicochemical systems (cryptography topics will not be entirely dropped, but will not be in the central focus).
Last update: Matějka Pavel (04.09.2019)
Literature -

R: M. A. Nielsen, I. L. Chuang: Quantum Computation and Quantum Information, Cambridge University Press, ISBN 0-521-63503-9

R: J. Gruška: Quantum Computing, McGraw-Hill, ISBN 007-709503-0

Last update: Řehák Karel (27.11.2018)
Syllabus -

1) Reversible classical computations

2) Computational complexity

3) Quantum bit

4) Measurements in quantum mechanics

5) Entanglement, EPR and Bell inequalities

6) Quantum cryptography and teleportation

7) Quantum gates and circuits

8) Quantum Fourier transform

9) Shor's factoring algorithm

10) Quantum phase estimation algorithm and its iterative version

11) Quantum computations of many-electron systems - part A

12) Quantum computations of many-electron systems - part B

13) Quantum noise and error corrections codes

14) Alternatives of the gate model - adiabatic quantum computers

Last update: Pátková Vlasta (16.11.2018)
Learning outcomes - Czech

Studenti budou znalí

  • principů kvantových počítačů pro řešení fyzikálních a chemických problémů
  • algoritmů používaných pro kvantové počítače

Last update: Pátková Vlasta (16.11.2018)
 
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