| Home | About Me | Courses | Recent Publications | Collaborators | Research Interests | Data | Contact |
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: “Quantum Computation and Quantum Information” by Michael A. Nielsen and Isaac L. Chuang. I also highly recommend “The Physics of Quantum Information”, by Editors Dirk Bouwmeester, Artur Ekert, and Anton Zeilinger, Springer 2001.
Grading: Project Report and Presentation 60%
Midterm Exam 25%
Attendance, Participation, and Completion of Class Assignments 15%
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 207, Thursdays 7:20 pm to 10:00 pm. First day of class is 1 September 2005 and last day of class is 8 December 2005.