Moses - Quantum Computing

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WiSe 2020/21 - SoSe 2021. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#41006 / #1

Validity:
WiSe 2020/21 - SoSe 2021

Default display language:
English

Module title:
Quantum Computing

Credits:
6

Responsible person:
Seifert, Jean-Pierre

Grading:
benotet

Type of exam:
Mündliche Prüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34355100 FG S-Professur Security in Telecommunications

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 16

Contact person:
Suratwala, Darshit

E-mail address:
lehre@sect.tu-berlin.de

Website:

https://www.tu.berlin/sect

Learning Outcomes

This course provides theoretical as well as practical introduction to quantum computation. By the end of the course students will be able to understand basics of quantum mechanics, quantum logic and computation, important quantum-algorithms, and work with actual quantum computers and quantum simulators.

Content

List of topics covered: - (Just) enough quantum mechanics to understand quantum computation - Quantum algorithms - Simon's algorithm - The prime factorization algorithm - Grover's search algorithm - Mathematical models of quantum computation, their relationships to each other, and to physical systems. - Quantum error correcting codes Exercises ------------------------------------------------------ - Backgrounds : The need for quantum computing - Hardware technologies for quantum computers - Quantum logic - Computation on a quantum computer - Programming on IBM Q

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Quantum Computing	VL	0434 L 984	SoSe	English	2
Quantum Computing	UE	0434 L 10659	SoSe	English	2

Workload and Credit Points

Quantum Computing (VL):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 LP)

Quantum Computing (UE):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	4.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

lecture: classical lecture. exercise: repetition of lecture content, exercise sheets The tutorial will be offered for the first time in winter semester 2020/21.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Knowledge of Undergraduate classes, basic Knowledge in Linear Algebra and programming in Python.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

30 minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

registration for the exam is handled via QISPOS

Recommended literature
Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information. Cambridge, UK: Cambridge University Press, September 2000. ISBN: 9780521635035
Quantum computing for computer scientists Noson S. Yanofsky and Mirco A. Mannucci, Cambridge University Press, 2008

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

The tutorial will be offered for the first time in winter semester 2020/21.

Quantum Computing