Mathematical Introduction to Quantum Information Processing [MA5057]

Course 0000003048 in SS 2019

General Data

Course Type

lecture

Semester Weekly Hours

4 SWS

Organisational Unit

Research Department Mathematics Centre

Lecturers

Michael Marc Wolf

Dates

Fri, 10:15–11:45, MI 03.08.011
Mon, 10:15–11:45, MI HS3
Fri, 10:15–11:45, Interims I 101

iCalendar

	Date and Time	Room and Remark
	Fri, 2019-04-26, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-04-29, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-05-03, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-05-06, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-05-10, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-05-10, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-05-13, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-05-17, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-05-17, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-05-20, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-05-24, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-05-24, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-05-27, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-05-31, 10:15–11:45	Boltzmannstr. 5
	Fri, 2019-05-31, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-06-03, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-06-07, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-06-07, 10:15–11:45	Boltzmannstr. 5
	Fri, 2019-06-14, 10:15–11:45	Boltzmannstr. 5
	Fri, 2019-06-14, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-06-17, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-06-21, 10:15–11:45	Boltzmannstr. 5
	Fri, 2019-06-21, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-06-24, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-06-28, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-06-28, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-07-01, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-07-05, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-07-05, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-07-08, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-07-12, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Mon, 2019-07-15, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-07-19, 10:15–11:45	Boltzmannstr. 3 Ausweichraum
	Fri, 2019-07-19, 10:15–11:45	Boltzmannstr. 5
	Mon, 2019-07-22, 10:15–11:45	Boltzmannstr. 3
	Fri, 2019-07-26, 10:15–11:45	Boltzmannstr. 5
	Fri, 2019-07-26, 10:15–11:45	Boltzmannstr. 3 Ausweichraum

Assignment to Modules

MA5057: Mathematical Introduction to Quantum Information Processing / Mathematical Introduction to Quantum Information Processing
This module is included in the following catalogs:
- Catalogue of non-physics elective courses
- Specialization Modules in Elite-Master Program Theoretical and Mathematical Physics (TMP)

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks	Quantum computation, quantum communication, and quantum cryptography are all high-level forms of quantum information processing. This course will introduce and analyze the basic building blocks of quantum information processing from a mathematical perspective. Beginning with the abstract foundations of quantum theory, the course will deal with quantum measurement theory, the description, steering and application of quantum evolutions, quantum statistical inference, and quantum tomography. One of the main aims of the course is to develop a better understanding of the fundamental limits of quantum information processing concerning speed, disturbance, precision, heat production and the use of other resources.
Links	Course documents TUMonline entry

additional remarks

Quantum computation, quantum communication, and quantum cryptography are all high-level forms of quantum information processing. This course will introduce and analyze the basic building blocks of quantum information processing from a mathematical perspective. Beginning with the abstract foundations of quantum theory, the course will deal with quantum measurement theory, the description, steering and application of quantum evolutions, quantum statistical inference, and quantum tomography. One of the main aims of the course is to develop a better understanding of the fundamental limits of quantum information processing concerning speed, disturbance, precision, heat production and the use of other resources.

Links

Course documents
TUMonline entry