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SCHOOL OF COMPUTATIONAL SCIENCES CLASS OF FALL 2004

Quantum Computation

CSI 789-003 75813 (Cross Listed with Phys 780-001 75814)

Credit Hours:  3

Description

Course Lectures

CSI 789-003 Quantum Computation exam

 Description:  This course introduces the field of quantum computation, giving students a solid basis for further research in the field.  The goal of the course is to provide a strong foundation of quantum computation to prepare the student for the study of more advanced topics in the field.  Key objectives are to differentiate between quantum and classical computers and to show the potential of quantum computation.  The course demonstrates that quantum computation is not a panacea but yet another interesting and potentially powerful approach to problem solving.  Topics will include basic quantum physics and computer concepts, the language of quantum computing, quantum algorithms, strengths and weaknesses of the approach, and applications of quantum computers to real world problems.

Course Objective:  To provide students with an introduction to quantum information techniques and the basic fundamental physics involved in this technology.  The course will prepare the student to (1) undertake graduate advanced research in quantum computation and quantum computers, (2) prepare the student to participate in professional activities in this field of study, (3) broaden the student’s background in the general field of quantum information, and (4) prepare the student to explore finding applications of this enabling technology to areas of interest to specific users.

Prerequisites:   An undergraduate course on Quantum Computation, or Quantum Physics, or General Physics, or Computer Science, and an Undergraduate Degree in the Physical or Computer Sciences, or Permission of Instructor.

Text:The Physics of Quantum Information”, by Editors Dirk Bouwmeester, Artur Ekert, and Anton Zeilinger, Springer 2001.  I also highly recommend “Quantum Computation and Quantum Information” by Michael A. Nielsen and Isaac L. Chuang. 

Grading:  Project Report and Presentation 60%

                 Midterm Exam 20%

                 Attendance, Participation, and Completion of Class Assignments 20%

 

Instructor:    Dr. Richard B. Gomez (rgomez@gmu.edu)

                     Office:  George Johnson Center, Room 237

                     Office Hours:  Tuesdays 2:00 to 5:00 pm (other hours by appointment)

                     Office Phone:  (703) 993-3629

Class Place, Dates, and Times:  Innovation Hall, Room 134, Thursdays 7:20 pm to 10:00 pm.  First day of class is 2 September 2004 and last day of class is 9 December 2004.  

 

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