A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.
BI-QAP Quantum algorithms and programming Extent of teaching: 1P+2C Instructor: Kalvoda T., Petr I. Completion: KZ Department: 18105 Credits: 5 Semester: Z Annotation:
Course aims at giving students hands-on experience with quantum computers and their programming. We focus on fundaments of quantum mechanics, on which quantum technologies are based, and algorithms showing advantages and limitations of quantum computing. During tutorials students work in open-source software development kit Qiskit, which is based on Python language. Knowledge of linear algebra at the level of BI-LA1 and BI-LA2 (or BI-LIN) is necessary. Previous completion of BI-MA2 or BI-VMM and experience with Python might be an advantage. No previous knowledge of physics is assumed.
Lecture syllabus:
1. Motivation for quantum technologies, difference between classical and quantum mechanics, first contact with Qiskit software development kit 2. State of quantum system, probablistic and quantum bits, superposition 3. Measurement, state of quantum system, Bloch sphere, unitarity of time evolution 4. One-qubit gates as rotations, measurement in general basis, quantum key distibution and protocol BB84 5. Two-qubit quantum register, entanglement, Bell (EPR) states 6. Two-qubit gates and their composition, no-cloning theorem 7. Superdense coding, general quantum register and gates, quantum teleportation 8. Quantum circuits, universal quantum computer 9. Simple quantum algorithms (Deutsch?Jozsa) 10. Quantum Fourier Transform 11. Quantum Phase Estimation 12. Variational methods and solution of linear systems of equations, quantum technologies and machine learning Seminar syllabus:
Tutorials follow lectures and consist of solving tasks using Qiskit.Literature:
1. M. A. Nielsen, I. L. Chuang, Quantum computation and quantum information, Cambridge Univ. Press, 2013. 2. Learn Quantum Computation using Qiskit: https://qiskit.org/textbook Requirements:
Knowledge of linear algebra at the level of BI-LA1 and BI-LA2 (or BI-LIN) is necessary. Previous completion of BI-MA2 or BI-VMM and experience with Python might be an advantage. No previous knowledge of physics is assumed.
http://courses.fit.cvut.cz/BI-QAP/ The course is also part of the following Study plans:
Page updated 24. 4. 2024, semester: Z/2020-1, Z/2019-20, Z/2023-4, Z/2021-2, L/2022-3, Z/2024-5, L/2019-20, Z/2022-3, L/2020-1, L/2021-2, L/2023-4, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška