Casimir Course - Fundamentals of Quantum Information (replacing the course Quantum Information Processing)



13:45-15:45 (Wednesdays) and 8:45-10:45 (Fridays)


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


Course open for PhD students, postdocs and advanced Master students (AP3421)

Lecturers: Stephanie Wehner and Leo DiCarlo

Expected prior knowledge: Linear Algebra, Probability & Statistics.

Time and place: 13:45-15:45 (Wednesdays) and 8:45-10:45 (Fridays), Lecture hall Chip, TU Delft, EWI, Mekelweg 4, Delft.

Dates: every Wednesday and every Friday from September 9th through October 16th.

Study points: 5 GSC

Description: 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. This class will teach you the fundamental principles of quantum information. You will learn what are quantum bits, quantum operations, and essential concepts that distinguish quantum from classical. You will learn 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 implemented.

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.
Aim To learn the fundamental concepts underlying quantum computation and communication systems.
Education Method 3 hours of lecture, 1 hour tutorial per week.
Literature and Study Materials The main reference textbook for the course will be Nielsen and Chuang, “Quantum Computation and Information”, Cambridge University Press.
Assessment 60% homework assignments, 10% in class quiz, 30% final exam.

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