QUANTUM COMPUTING

Course Information
TitleΚΒΑΝΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ / QUANTUM COMPUTING
CodeNNA-08-09
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorNikolaos Konofaos
CommonNo
StatusActive
Course ID600018428

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 28
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ845

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600180130
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Computer Sytems (Design. logic, architecture). Algorithms, basic knowledge of scientific computing. Basic physics, elementary quantum physics (optional).
Learning Outcomes
Cognitive: After successful copletion of the course, the students will know the basics of quantum computers while they could understand the basic quantum algorithms. Skills: After successful copletion of the course, the students will solve quqntum circuits simulation problems using suitable software.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
Course Content (Syllabus)
Introduction to quantum theory, Hilbert space, vectors. Quantum information, the qubit. Foundations of quantum computation. Quantum gatres and circuits, the circuit model. Basic quantum algorithms ((Deutsch, Shor, Grover). Quantum Fourier Transform, quantum cryptography. Quantum and classical computers, modern and future technologies.
Keywords
Quantum information, qubit, quantum algorithms, quantum computers.
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures60
Reading Assigment35
Written assigments35
Exams20
Total150
Student Assessment
Description
Written exams and project implementation. Marking percentage: 70% writte + 30% project.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [269]: ΚΒΑΝΤΟΜΗΧΑΝΙΚΗ ΤΟΜΟΣ ΙΙ, ΤΡΑΧΑΝΑΣ ΣΤΕΦΑΝΟΣ Λεπτομέρειες Βιβλίο [320012]: ΚΒΑΝΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ, ΚΑΡΑΦΥΛΛΙΔΗΣ ΙΩΑΝΝΗΣ Λεπτομέρειες
Additional bibliography for study
Βιβλίο [175312]: Quantum Computation and Information [electronic resource], Hiroshi Imai / Masahito Hayashi Βιβλίο [176432]: Quantum Information [electronic resource], Gregg Jaeger Λεπτομέρειες Βιβλίο [73269183]: Nano, Quantum and Molecular Computing [electronic resource], Sandeep K. Shukla / R. Iris Bahar
Last Update
06-10-2020