Arvutiteaduse instituut
  1. Kursused
  2. 2022/23 sügis
  3. Kvantinformatsiooni töötlemine footonitega (LTAT.00.015)
EN
Logi sisse

Kvantinformatsiooni töötlemine footonitega 2022/23 sügis

  • QIP Light

LTAT.00.015 (6 ECTS)

QIP Light — Quantum Information Processing with Photons

This course is about quantum computing with photons and quantum states of light.

This is the second time that this course will be offered, and there will be two notable changes in the content: Firstly, quantum communication (QKD, entanglement distribution, etc) will not be covered, i.e., we will focus on quantum computing only. Secondly, we will put a strong emphasis on single photon QIP.

Even though Gaussian Boson Sampling has been buzzing lately, it will not be covered in the course.

Warning: Photonic quantum computing is quite different from qubit-based quantum computing; for example, there will be few quantum circuit diagrams in the course.

Content

1. Review of quantum physics of photons/light

  • QHA, modes of light
  • Components of photonic QIP devices

2. Review of the math

  • Stabilizer theory
  • ZX-Calculus

3. Measurement-based quantum computing

  • Cluster states, graph states
  • Foliation

4. Fusion-based quantum computing and interleaving

If time permits, we will discuss the device underlying Xanadu's recent quantum advantage demonstration, but, as said before, we will not cover the computational approach, Gaussian Boson Sampling.

Requirements and course organization

Students participating should have command of the necessary math / quantum mechanics: Schrödinger & Heisenberg pictures; QHA à la Dirac (i.e., with ladder operators); stabilizer groups and formalism.

Organizational overview

  • Entry exam (written) to check the background in math & quantum mechanics
  • Twice-weekly class meetings
  • Semi-voluntary homework exercises (will be marked only if handed in on time)
  • Final exam (oral)

Requirement for participating in the course is passing the entry exam. Requirement for passing the course is passing the final exam.

Instructor:

  • Assoc Prof Dirk Oliver Theis
  • Arvutiteaduse instituut
  • Loodus- ja täppisteaduste valdkond
  • Tartu Ülikool
Tehniliste probleemide või küsimuste korral kirjuta:

Kursuse sisu ja korralduslike küsimustega pöörduge kursuse korraldajate poole.
Õppematerjalide varalised autoriõigused kuuluvad Tartu Ülikoolile. Õppematerjalide kasutamine on lubatud autoriõiguse seaduses ettenähtud teose vaba kasutamise eesmärkidel ja tingimustel. Õppematerjalide kasutamisel on kasutaja kohustatud viitama õppematerjalide autorile.
Õppematerjalide kasutamine muudel eesmärkidel on lubatud ainult Tartu Ülikooli eelneval kirjalikul nõusolekul.
Tartu Ülikooli arvutiteaduse instituudi kursuste läbiviimist toetavad järgmised programmid:
euroopa sotsiaalfondi logo