Term and Credits
Winter 20212022
3 Credits
Room and Time
Section 001  TW 1011:20PM Prof. Boady [Zoom]
Instructor
Mark Boady
Electronic Mail Address:
mwb33@drexel.edu
Office: 3675 Market Street Room 1058 (near snack machine)
Extention: 2158952347
Office Hours:
Tuesday/Thursday TBD
Course Description
Covers the basics of Quantum Computing and famous algorithms. Introduces qubits, quantum gates, and quantum circuits. Examines the linear algebra and mathematical concepts needed to understand quantum circuits. Studies famous quantum algorithms including DeutschJozsa, Simon, Shor, and Grover. Examines current topics in quantum algorithms.
Course Objective and Goals
Topics
Audience and Purpose within Plan of Study
This class is targeted a high level Computer Science students. It assumes a significant amount of algorithmic and low level computer knowledge. It is targeted at students who want to tranfer their traditional programming skills into quantum algorithm design and programming.
Prerequisites
This subject benefits from the abilities to creatively use the software development and mathematical tools that students know as advanced undergraduates: CS260 (Minimum Grade C+), CS 270 (Minimum Grade C+), MATH 201  Linear Algebra (Minimum grade C+).
What Students Should Know Prior to this Course
What Students will be able to do upon Successfully Completing this Course: Statement of Expected Learning
Textbook
Introduction to Quantum Algorithms via Linear Algebra (Second Edition)
Author: Richard J. Lipton and Kenneth W. Regan
Published: April 6, 2021
ISBN10: 0262045257
ISBN13: 9780262045254
Buy from Amazon
Learn Quantum Computation using Qiskit
Available free online:
https://qiskit.org/textbook/preface.html
Grading and Policies
Final grades will be determined by your total points weighted according to this distribution. Grades may be curved but are generally computed via the formula below. It may be modified at the instructor's sole discretion, but letter grades will generally not be lower than those shown here.
Late Policy
Academic Honesty Policy
The CCI Academic Honesty policy is in effect for this course. Please see the policy at http://drexel.edu/cci/resources/currentstudents/undergraduate/policies/csacademicintegrity/.
Academic Honesty Violations will be reported to the University. Punishment will be determined by the severity of the incident. Punishments include, but are not limited to,
Blogs
Each week you will reflect on the concepts you learned in a reading assignment in a blog post.
You will comment on two other students posts.
Homework Assignments
There will be 8 homework assignments. Some will be written and some will be programming.
Presentations
Each student will present two (midterm and final) presentations of quantum algorithms. Student will select topics from areas not covered by class. The student will present a teaching lecture on the topic to the rest of the class via a recorded video.
University Policies
In addition to the course policies listed on this syllabus, course assignments or course website, the following University policies are in effect:
Appropriate Use of Course Materials
It is important to recognize that some or all of the course materials provided to you are the intellectual property of Drexel University, the course instructor, or others. Use of this intellectual property is governed by Drexel University policies, including the IT1 policy found at: https://drexel.edu/it/about/policies/policies/01AcceptableUse/
Briefly, this policy states that all course materials including recordings provided by the given prior written approval by the University. Doing so may be considered a breach of this policy and will be investigated and addressed as possible academic dishonesty, among other potential violations. Improper use of such materials may also constitute a violation of the University's Code of Conduct found at: https://drexel.edu/cpo/policies/cpo1/ and will be investigated as such.
Recording of Class Activities:
In general, students and others should not record course interactions and course activities in lecture, lab, studio or recitation.
Students who have an approved accommodation from the Office of Disability Resources to record online lectures and discussions for note taking purposes should inform their course instructor(s) of their approved accommodation in advance. The recording of lectures and discussions may only be carried out by the students enrolled in the class who have an approved accommodation from Disability Resources with their instructors' prior knowledge and consent. Students with approved accommodations may be asked to turn off their recorder if confidential or personal information is presented.
If a student has any comments, concerns, or questions about provided class materials and/ or recording, talk to your course instructor first. If this does not resolve the issue, you can also reach out to the Department Head, and use the process described for a grade appeal to move your concern forward. The process described for grade appeals can be found at:
https://drexel.edu/provost/policies/gradeappeals/
Mask Etiquette for the 2021 Fall Quarter
As of August 3, 2021, Drexel requires all students and employees to wear a mask in all oncampus public and shared spaces, including instructional and research settings, regardless of vaccination status. Specifically, masks are to be worn in classrooms, laboratories, lecture halls and seminar rooms. Students are not permitted to eat during class or otherwise remove their mask. If a student needs to remove their mask (to drink water etc.) they may step outside the class, to do so and then return to class. Please remember your mask to avoid class disruption.
If a student does not wear a mask or follow other required health and safety guidelines in the classroom, the instructor will take the following steps:
As members of the Drexel community, we all play a role in supporting our collective health and safety, and I appreciate your collaboration and commitment to this. If you have questions or concerns about masking in class, please do not hesitate to ask. More information about masking is available at the link above and on the Drexel Response to Coronavirus website.
Tentative Course Schedule
Please see the appropriate assignment webpages for a detailed description of course deliverables.
Week  Topic  Assignments  
1 (January 3, 2022)  Linear Algebra Introduction and Qubits 
Blog 1  Friday Jan 7 at 11:59PM Comments 1  Sunday Jan 9 at 11:59PM Homework 1  Tuesday Jan 11 at 11:59PM 

2 (January 10, 2022)  Understanding Quantum Circuits 
Blog 2  Friday Jan 14 at 11:59PM Comments 2  Sunday Jan 16 at 11:59PM Homework 2  Tuesday Jan 18 at 11:59PM 

3 (January 17, 2022) [Martin Luther King Day] 
Phase Kickback 
Blog 3  Friday Jan 21 at 11:59PM Comments 3  Sunday Jan 23 at 11:59PM Homework 3  Tuesday Jan 25 at 11:59PM 

4 (January 24, 2022)  DeutschJozsa Algorithm 
Blog 4  Friday Jan 28 at 11:59PM Comments 4  Sunday Jan 30 at 11:59PM Homework 4  Tuesday Feb 1 at 11:59PM 

5 (January 31, 2022)  Simon's Algorithms 
Blog 5  Friday Feb 4 at 11:59PM Comments 5  Sunday Feb 6 at 11:59PM Midterm Presentation  Tuesday Feb 8 at 11:59PM 

6 (February 7, 2022)  Integer Representations and classic FFT 
Blog 6  Friday Feb 11 at 11:59PM Comments 6  Sunday Feb 13 at 11:59PM Homework 5  Tuesday Feb 15 at 11:59PM 

7 (February 14, 2022)  Quantum Fourier Transform and Phase Recovery 
Blog 7  Friday Feb 18 at 11:59PM Comments 7  Sunday Feb 20 at 11:59PM Homework 6  Tuesday Feb 22 at 11:59PM 

8 (February 21, 2022)  Shor's Algorithm 
Blog 8  Friday Feb 25 at 11:59PM Comments 8  Sunday Feb 27 at 11:59PM Homework 7  Tuesday Feb 29 at 11:59PM 

9 (February 28, 2022)  Grover's Algorithm 
Blog 9  Friday Mar 4 at 11:59PM Comments 9  Sunday Mar 6 at 11:59PM Homework 8  Tuesday March 8 at 11:59PM 

10 (March 7, 2022)  Quantum Algorithms in use today 
Blog 10  Friday Mar 11 at 11:59PM Comments 10  Sunday Mar 13 at 11:59PM Final Presentation  Tuesday March 15 at 11:59PM 

11 (March 14, 2022)  Watch one other student's presentations and submit feedback by Fri March 18 at 11:59PM 