QC809: Quantum Computation and Phases of Quantum Matter

The Study Board for Science

Teaching language: English
EKA: N310093102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master

STADS ID (UVA): N310093101
ECTS value: 10

Date of Approval: 22-10-2025


Duration: 1 semester

Version: Archive

Entry requirements

None

Academic preconditions

Students are expected to have prior knowledge of the postulates of quantum mechanics and their application to quantum computing, including familiarity with quantum circuits, universal gate sets, and basic quantum algorithms (e.g., from QC801 and QC802).
 

Course introduction

This course explores the connections between quantum condensed matter physics and quantum computation, focusing on how various phases of quantum matter—particularly topological phases—can serve as resources for quantum computing. Students will learn about the topological classification of gapped quantum phases of matter, with special emphasis on phases that are useful for quantum information processing.
The course will examine specific examples of topological phases, including:
  • Symmetry-protected topological (SPT) phases, whose ground states support measurement-based quantum computing
  • Topologically ordered phases, like the toric code, which are foundational to topological quantum error correction
Students will also study quantum dualities—non-trivial correspondences between seemingly distinct quantum systems—and how these can be leveraged to develop algorithms for efficiently preparing resource states for computation.
Beginning with seminal work in topological quantum computing and topological phases of matter, the course will bring students to the forefront of current research in the field.


Expected learning outcome

By the end of the course, students should be able to   
  • Demonstrate a comprehensive understanding of core terminology and concepts in topological quantum matter.
  • Explain and apply foundational results and principles related to topological phases of matter.
  • Critically engage with current literature in the fields of topological phases of matter and topological quantum computing.

Content

Topics covered in this course will include:
  • Topological Classification: An introduction to the classification of gapped quantum phases across various spatial dimensions (d+1 dimensions, with d = 1, 2, 3), incorporating both algebraic topology and quantum field theory methods
  • Quantum Lattice Models: Analysis of quantum lattice models representing topological phases, including their ground states, order parameters, and topological operators
  • Stabilizer Codes from Lattice Models: Development of stabilizer quantum codes derived from quantum lattice models
  • Generalized Symmetries and Dualities: Exploration of generalized gaugings and symmetries, including their interpretation as dualities, and investigation of their algorithmic implementation on quantum circuits

Literature

See itslearning for syllabus lists and additional literature references.

It is expected that the following literature will be used:

  • Steve Simon: Topological Quantum
  • Lecture Notes on Quantum Information by John Preskill
  • Anyons in an exactly solved model and beyond – Aleksei Kitaev

Examination regulations

Exam element a)

Timing

Spring/June

Tests

Project with oral exam

EKA

N310093102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Duration

30 minutes, no preparation

Examination aids

All common aids allowed

ECTS value

10

Indicative number of lessons

60 hours per semester

Teaching Method

Planned lessons:
Total number of planned lessons: 60
Hereof:
Common lessons in classroom/auditorium: 60
 
Generally, in each week there will be 2 hours of ordinary lectures, where the lecturer covers the syllabus, and 2 hours of exercise sessions, where the students will present homework solutions to problems announced during the course.
 
Other planned teaching activities:
The students will work on the weekly homework problems, and on the exam project.

Teacher responsible

Name E-mail Department
Apoorv Tiwari apoorvtiwari@imada.sdu.dk Institut for Matematik og Datalogi
William Elbæk Mistegård wem@imada.sdu.dk Institut for Matematik og Datalogi

Timetable

Administrative Unit

Institut for Matematik og Datalogi (matematik)

Team at Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.