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Lecture
What is Quantum Computing?
Welcome to Full-Stack Quantum Computing DeCal
Course: CS 198-120
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Term: Fall 2022
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Units: 2 (P/NP)
Instructors: Riley Peterlinz, Binhan Hua
Lecture: Mondays and Wednesdays, 11–12 @ Giannini 141 · Office Hours: Fridays, 3–4pm @ Campbell 101
Email: rpeterlinz, binhan_hua @berkeley.edu
Instructors: Riley Peterlinz, Binhan Hua
Lecture: Mondays and Wednesdays, 11–12 @ Giannini 141 · Office Hours: Fridays, 3–4pm @ Campbell 101
Email: rpeterlinz, binhan_hua @berkeley.edu
This course teaches the fundamentals of quantum computing for students interested in further study, research, and industry. Topics include state evolution in the circuit model, quantum algorithms, qubit implementations, and practical applications of quantum computers.
Unit 1 — Introduction to Quantum Computing
Week 1
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Week 2
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Week 3
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Lecture
Introduction/review of linear algebra (1)
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Lecture
Introduction/review of linear algebra (2)
Week 4
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Week 5
Week 6
Week 7
Unit 3 — Quantum HardwareWeek 8
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Lecture
Evaluating Qubit Implementations
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Week 9
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Lecture
Trapped Ion Qubits
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Lecture
NV Color Centers and Quantum Dots
Week 10
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Lecture
The future of qubits and quantum computing
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Lecture
A top-down view of Industry
Week 11
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Lecture
QAOA and VQE
Week 12
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Special Topic
Guest Speaker
Week 13
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Workshop
Final Project Workshop
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Workshop
Final Project Workshop
Finals
TBD
Project
Final Project Presentations
Policies
This course is graded P/NP. Regular attendance, participation, completion of assignments, and submission of a final project are required for a Pass.
Attendance: Students have 2 unexcused absences. Excused absences require emailing the instructors in advance and, after lecture videos and slides are posted, sending a paragraph summarizing the lecture content.
Homeworks: A single lab/problem set is assigned each week. The course includes 2 homework drops.
Final Project: A capstone project on a topic of the student's choice is due November 25. Suggested directions include implementing an algorithm in Qiskit, writing about quantum hardware substrates, analyzing quantum industry metrics, or exploring advanced algorithms such as HHL and QSVT.
Resources
- Fall 2022 Syllabus
- CS 198-120 Reference Sheet
- Qiskit Textbook
- Nielsen & Chuang — Quantum Computing and Quantum Information (Cambridge, 2010)
- Rieffel & Polak — Quantum Computing: A Gentle Introduction (MIT Press, 2011)
- Aaronson — Quantum Computing Since Democritus (Cambridge, 2013)
- HW 1 · Solution
- HW 2
- HW 3
- HW 4 · Code