Quantum Information Theory [E2 270 (3:0) – Spring 2025]

Instructor: Prof. Shayan Srinivasa Garani

Office: ESE, 232

[Tuesday, Thursday 11:30 am – 1:00 pm]

Teaching assistants: Sudhir Kumar Sahoo and Abhi Kumar Sharma

Join teams link as: Quantum Information Theory

Teams code: r3zgtl8

Venue: ESE Class Room No. 137
Starting date/Org. meeting: Jan 7th, 2025

Course Syllabus:

  • Overview of concepts from classical Shannon theory, noiseless quantum theory, noisy quantum theory and purified quantum theory, distance measures, quantum information, and entropy, information of quantum channels, quantum typicality, packing lemma, covering lemma, Schumacher compression, entanglement concentration, noisy quantum Shannon theory, product measurements at the decoder, information-processing task, classical capacity theorem, superadditivity of Holevo information, entanglement-assisted classical communication.

Prerequisite:

A strong foundation in linear algebra and random processes is essential, along with completion of the following courses:

    • a course on classical information theory (E2 201 or equivalent) 
    • a course on quantum computation (QT 207 or equivalent)

 References:  

Grading Policy:

  • Homeworks: 35%
  • Term Exam and Presentation: 35%
  • Final Exam: 30%

Homeworks:


Midterms: