AM 584b, Winter 2005

Quantum computation and information -I

Time & Place: F 2:00-5:00pm Room: MC 15B

Instructor: Alex Buchel, office: MC 264, Ext: 88794, E-mail: abuchel[at]

Office hours: by appointment

Site menu:
Prerequisites Course Outline Text Course Evaluation Lecture Notes Homework Other Notes Feedback


This course is geared for graduate students in physics, engineering, mathematics and computer science. It should also be accessible to senior undergraduate students with a good grasp of Linear Algebra. For undergraduate students AM213b (Linear Algebra II) with a minimum mark of 75% is required. A previous course work in Quantum Mechanics, Statistical Physics, (classical) Computer Science (information theory, algorithms theory, complexity theory) is very useful, but not essential.

Course outline:

I. Introduction:
II. Introduction to Quantum Mechanics:
III. Introduction to computer science:
IV. Quantum computation:
V. Quantum Fourier transform and its applications:
VI. Quantum search algorithm:


he primary text is a book by Michael Nielsen and Isaac Chuang "Quantum Computation and Quantum Information". Additional resources will be posted on/linked to the course webpage.

Course evaluation:

The course evaluation will be based on several (to be determined) regular problem sets that will be handed in during the term. There is no final exam.

Lecture notes:

Additional lecture notes will be posted here.


Homework/solutions will be posted here.

Other notes:

John Preskill, Quantum Information and Computation


Feedback to the instructor regarding the quality, speed, and content of presentation is especially appreciated during the semester!