CSCI0333A-F23
Quantum Computing
Quantum Computing
In this course we will explore how quantum mechanics can be applied to problems in communications, algorithms, detection, and cryptography. We will learn how features such as entanglement, superposition, and no-cloning can sometimes give quantum systems an advantage over standard “classical” computers. We will also discuss the current situation and challenges facing experimental quantum computers, as well as the limits of quantum computing. No previous experience with quantum mechanics is required. (MATH 0200 or CSCI 0200) 3 hrs lect./disc.
In this course we will explore how quantum mechanics can be applied to problems in communications, algorithms, detection, and cryptography. We will learn how features such as entanglement, superposition, and no-cloning can sometimes give quantum systems an advantage over standard “classical” computers. We will also discuss the current situation and challenges facing experimental quantum computers, as well as the limits of quantum computing. No previous experience with quantum mechanics is required. (MATH 0200 or CSCI 0200) 3 hrs lect./disc.
- Term:
- Fall 2023
- Location:
- 75 Shannon Street 203(75SHS 203)
- Schedule:
- 12:45pm-2:00pm on Monday, Wednesday (Sep 11, 2023 to Dec 11, 2023)
- Type:
- Lecture
- Course Modality:
- In-Person
- Instructors:
- Shelby Kimmel
- Subject:
- Computer Science
- Department:
- Computer Science
- Division:
- Natural Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 92445
- Subject Code:
- CSCI
- Course Number:
- 0333
- Section Identifier:
- A