QST Theory: Quantum Information
Module PH1010 [QSTTH]
Module version of WS 2021/2 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
available module versions  

WS 2021/2  WS 2020/1 
Basic Information
PH1010 is a semester module in English language at Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
 Specific catalogue of special courses for condensed matter physics
 Specific catalogue of special courses for Applied and Engineering Physics
 Complementary catalogue of special courses for nuclear, particle, and astrophysics
 Complementary catalogue of special courses for Biophysics
 Mandatory Modules in M.Sc. Quantum Science & Technology
If not stated otherwise for export to a nonphysics program the student workload is given in the following table.
Total workload  Contact hours  Credits (ECTS) 

300 h  90 h  10 CP 
Responsible coordinator of the module PH1010 is Ignacio Cirac.
Content, Learning Outcome and Preconditions
Content
The PH1010 QST Theory: Quantum Information offers an introduction to the theoretical foundations of Quantum Science and Technology. The course starts with a brief motivation and an introduction to fundamental concepts and the basic formalism (pure/mixed states, evolution, completely positive maps, measurements Schmidt decomposition, tomography, quantum estimation, hypothesis testing). Then the concept of entanglement is discussed in detail, including the distinction between pure and mixedstate entanglement, entanglement entropy, quantification and conversion. Subsequently, some of the revolutionary promises of exploiting entanglement are presented, including dense coding, quantum teleportation and quantum cryptography. Next the Bell inequalities, characterizing the quantum weirdness of entanglement and nonlocality, are introduced and discussed in detail. Subsequent chapters cover central applications of quantum information theory: quantum computation, quantum algorithms such as those of Deutsch, Shor and Grover, quantum simulation, and quantum metrology. Final core topics are decoherence, Lindbladian descriptions thereof, and error correction schemes to counteract the consequences of decoherence and protect fragile quantum information. The module will typically also include one or more optional topics, such as manybody entanglement, topological quantum computation, quantum complexity, or tensor networks, which link quantum information theory to manybody physics.
Learning Outcome
After participation in the Module the student is able to:

Explain fundamental concepts such as the distinction between pure and mixed states, quantum evolution, completely positive maps, and quantum measurements.

Explain and quantify the notion of entanglement in various contexts (pure states, mixed states, purification, Bell inequalities).

Understand and explain central applications of quantum information theory, such as quantum cryptography, quantum computation, quantum simulation, and quantum metrology.

Understand the central ideas underlying different quantum algorithms.

Understand the notion and the consequences of decoherence, model it using Lindbladians, and explain central elementary error correction strategies.

Competently perform quantum mechanical computations relevant for the above topics.
Preconditions
No prerequisites in addition to the requirements for the Master’s program in Quantum Science and Technology. Familiarity with quantum mechanics is assumed, at the level of an introductory course from a Bachelor degree in physics.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Type  SWS  Title  Lecturer(s)  Dates  Links 

VO  4  QST Theory: Quantum Information  Cirac, I. 
Thu, 16:00–18:00, PH HS1 Fri, 08:00–10:00, PH HS1 and singular or moved dates 
eLearning 
UE  2  Exercise to QST Theory: Quantum Information 
Schiffer, B.
Responsible/Coordination: Cirac, I. 
dates in groups 
Learning and Teaching Methods
The module consists of a lecture series (4 SWS) and exercise classes (2 SWS), comprising two lecture sessions and one exercise session per week.
The main teaching material is presented on the blackboard, by beamer or by video lectures. The central role of entanglement, providing crosslinks between different topics, will be emphasized at each level.
Lectures are supplemented by weekly problem sets, deepening the understanding of core concepts through concrete calculations. Solutions to the problem sets are discussed within the exercise classes.
Participation in the exercise classes is strongly recommended, since the exercises offer thorough training in core conceptual and computational skills, thereby greatly aiding exam preparation.
Media
Blackboard, presentations (slides), electronic board (with handouts).
Literature
Standard textbooks on Quantum Information, for example:

Quantum Computation (Lecture Notes), John Preskill. http:/www.theory.caltech.edu/people/preskill/ph229
A famous set of lecture notes, continually being refined throughout the last 20 years. 
Quantum Computation and Quantum Information, 10th Anniversary Edition, Michael A. Nielsen, Isaac L. Chuang, Cambridge University Press, 2010.
One of the most cited books in physics of all time, providing a general, accessible and wideranging introduction to the topic. 
Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation), Eleanor Rieffel, Wolfgang Polak, The MIT Press, 2011. A thorough exposition of quantum computing and the underlying concepts of quantum physics.

Quantum Information Theory, Mark. M. Wilde, Cambridge University Press, 2013.
Aims to introduce readers familiar with classical communication and information theory to the novel aspects of quantum communication and information theory. 
Quantum Computer Science: An Introduction, N. David Mermin, Cambridge University Press, 2007. Develops the subject without assuming any background in physics.

An Introduction to Quantum Computing, Phillip Kaye, Raymond Laflamme, Michele Mosca, Oxford University Press, 2010.
An introduction to quantum computing aimed at advanced undergraduate and beginning graduate students in physics, mathematics, computer science or engineering. 
Classical and Quantum Computation, A. Yu. Kitaev, A. H. Shen, M. N Vyalyi, Graduate Studies in Mathematics, Vol. 47, American Mathematical Society, 2002. For students interested in the mathematical aspects of quantum information theory.
Module Exam
Description of exams and course work
There will be a written exam of 180 minutes duration. Therein the achievement of the competencies given in section learning outcome is tested exemplarily at least to the given cognition level using conceptual questions and computational tasks.
For example an assignment in the exam might be:
 How does the Hadamard gate act on the Bloch sphere?
 What is an example of a map which is positive but not completely positive?
 What is the Schmidt decomposition, and what is its relevance to entanglement?
 How can a Schmidt decomposition be found?
 What is the PPT criterion?
 What is a purification of a mixed state?
 How can the state 1/3*00>+2/3*11> be converted to a maximally entangled state?
 Construct a basis of maximally entangled states for two qutrits.
 Characterize a measurement of an observable in a system of two qubits when restricted to an effective qutrit inside the twoqubit system.
 Find and characterize a protocol for teleporting an arbitrary twoqubit state.
 How does the Deutsch algorithm work?
 Why is the oracle in the Deutsch algorithm not acting as x> > f(x)>?
 Find a quantum circuit performing a controlledU twoqubit gate, where U is an arbitrary unitary.
 What is the idea behind quantum error correction?
 What happens to continuous errors in quantum error correction?
 What is the ChoiJamiolkowski isomorphism?
There will be a bonus (one intermediate stepping of "0,3" to the better grade) on passed module exams (4,3 is not upgraded to 4,0). The bonus is applicable to both exam period directly following the lecture period and subject to the condition that the student passes the midterm of passing at least 50% of the exercises.
Exam Repetition
The exam may be repeated at the end of the semester.