Course: Introduction to Quantum Computing

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Course title Introduction to Quantum Computing
Course code KIV/IQC
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech, English
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Henzl Jiří, doc. Ing. Ph.D.
Course content
1. Bloch sphere, QPU as an accelerator, probabilistic problem, quantum advantage 2. Digital encoding, gates, quantum circuit construction, measurement 3. Elementary operations: XOR, OR, AND, +, - 4. Dynamic circuit generation, transpilation, circuit depth, target gates 5. Phase encoding, amplitude encoding, QFT, reversible operations 6. Addition and multiplication on quantum registers, Quantum Phase Estimation, computational precision 7. Ansatz, variational algorithm 8. Optimization methods and Ansatz opcode generation 9. Quantum Machine Learning 10. Hamiltonian, Ising model 11. Combinatorial problems 12. Error mitigation 13. Buffer/Reserve

Learning activities and teaching methods
  • Contact hours - 156 hours per semester
prerequisite
Knowledge
Student understands logic operators and algorithmization
Linear algebra foundations
Skills
solve basic problems of linear algebra
Competences
N/A
learning outcomes
Knowledge
Understanding of quantum computers Understanding of information encoding via the quantum states
Skills
Ability to design and assemble quantum circuits Ability of correctly interpret of results obtained with a quantum computing
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Interactive lecture
Practicum
Skills
Practicum
Competences
Interactive lecture
Practicum
assessment methods
Knowledge
Combined exam
Skills
Combined exam
Competences
Combined exam
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester