PROGRAM

QuTech Academy Course - Fundamentals of Quantum Information

Date:

Time:

Tuesdays 15:45-17:45 hrs, Fridays 8:45-10:45

Location:

Lecture hall Chip, TU Delft, EWI, Mekelweg 4, Delft.

 

Instructors: Leo DiCarlo, David Elkouss

Course Contents
Approximate syllabus:
- quantum states, measurements;
- Bell test, entanglement;
- unitary operations, no cloning;
- quantum gates, universal gate sets, entangling gates;
- bipartite states, mixed states, partial trace, purification;
- teleportation, superdense coding, remote state preparation, quantum repeater;
- basic algorithms and quantum algorithmic techniques;
- simple physical implementations of qubits.
Study Goals
Motivation: Quantum information is the future of computing and communication. Quantum computers offer exponential speedup over any classical computer. Similarly, quantum communication offers many advantages, including the ability to create secure encryption keys where security rests only on the laws of nature.

Synopsis: This class will teach you the fundamental principles of quantum information. You will learn essential concepts that distinguish quantum from classical devices. You will learn about quantum bits and the quantum operations and measurements that can be performed on them. You will learn the basic techniques used in quantum algorithms, and examine basic examples of such algorithms. You will also take the first step in understanding how a quantum bit can be physically implemented.

Aim: To learn the fundamental concepts underlying quantum computation and communication systems.
Education Method, Course Dates and Times
3 hours of lecture, 1 hour tutorial per week.
Course dates: September 7, 11, 14, 18, 21, 25, 28, and October 2, 5, 9, 12, 16, 19, 23, 26. 
Times: Tuesdays 15:45-17:45 hrs, Fridays 8:45-10:45
Literature and Study Materials
The main reference textbook for the course will be Nielsen and Chuang, “Quantum Computation and Information”, Cambridge University Press.
Assessment
TBD for PhD students.
For MSc students: 40% homework assignments, 10% in class quiz, 50% final exam.
A minimum grade of 5.0 (unrounded) for the final exam (5 November) is required to pass the course.