CS计算机代考程序代写 algorithm Final Project Information

Final Project Information

Final Project Information

This is not a group assignment. Each student must submit their own paper.

Papers are due before 11:59 PM on Wednesday, December 15.
Please submit your paper via Gradescope.

Your final project is a written paper summarizing and discussing a topic in quantum
computing that has not been covered in class. You can assume that the reader of your
paper is a fellow student in this class. This should be the level at which you present the
topic. Thus, you can assume that the reader knows the basics of quantum computing
covered in the course. You do not need to include materials already covered in class in
your paper.

Your paper should provide an overview of the subject to your fellow students. Include an
introduction to the topic, what is the problem it is trying to address, why it is interesting
or useful, how quantum tools are used to address the problem, what has been achieved or
demonstrated so far, and what is the future outlook. Please include mathematical details
where appropriate. You may not be able to follow all the technical details of the topic, but
you should aim to include as much technical detail as you could understand based on
your learning in this course.

Written papers should be a maximum of 10 pages in length (double spaced), not
including references. The paper can be shorter if you think you can present the topic
appropriately in a shorter length.
Please be sure to cite all sources that you consult while writing your paper. The citation
list is NOT included in the 10 pages length limit.

Suggested Final Project Topics
You can also choose your own topic. If you do choose your own topic, please check with
me in advance to make sure the topic is appropriate for a final project.

1. Quantum games and quantum strategies
2. Entanglement and Bell’s inequalities
3. Quantum secret sharing and controlled teleportation
4. Experimental demonstrations of quantum computing (multiple projects possible)
5. Experimental demonstrations of quantum communication (multiple projects

possible)
6. Quantum error correction
7. Quantum computational complexity and communication complexity
8. Quantum repeaters
9. Measurement based quantum computation
10. Quantum algorithms (that have not been covered in class)
11. Interpretations of quantum mechanics
12. Quantum cryptography (beyond what has been covered in class)