What Is an Edge Case?
January 31, 2024
Article
This course is part of The Complete Quantum Computing Course for Beginners Specialization
Instructor: Packt - Course Instructors
1,515 already enrolled
Included with
(14 reviews)
Recommended experience
Beginner level
This course is for students, professionals, and enthusiasts with math or computer science backgrounds. Basic algebra, stats, and probability help.
(14 reviews)
Recommended experience
Beginner level
This course is for students, professionals, and enthusiasts with math or computer science backgrounds. Basic algebra, stats, and probability help.
Recognize key distinctions between classical and quantum computing.
Understand key mathematical concepts such as matrices, probability, and complex numbers in quantum mechanics.
Solve matrix operations and perform linear transformations, analyzing quantum states using superposition and entanglement.
Develop a framework for multi-qubit systems, evaluating Braket notation for representing quantum states and its applications.
Add to your LinkedIn profile
October 2024
1 assignment
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Begin your journey by exploring the mathematical foundations that are crucial to understanding quantum mechanics. From probability theory and complex numbers to matrices and linear transformations, this course builds a strong framework, ensuring that each concept is connected to real-world applications in quantum computing. This section helps you distinguish between classical and quantum systems, emphasizing their operational differences.
The next part of the course delves into quantum mechanics with an introduction to qubits—the fundamental unit of quantum information. You will learn about the principles that differentiate qubits from classical bits, such as superposition, interference, and entanglement. Key mathematical notations like Braket will be explored to solidify your understanding of how quantum states are represented and manipulated. Finally, the course concludes with an in-depth look at advanced quantum concepts like multi-qubit systems. By the end of this course, you will have developed a well-rounded understanding of both the mathematical tools and quantum principles that are essential for anyone entering the field of quantum computing. This course is designed for students, professionals, and enthusiasts with a background in mathematics or computer science. Familiarity with basic algebra, statistics, and probability is recommended but not required.
In this module, we will introduce the course and provide a roadmap to help you navigate through the learning journey. You will also gain insight into how to maximize the course's resources and understand the foundational concepts that will be covered in upcoming modules.
2 videos2 readings
In this module, we will explore the mathematical principles that form the backbone of quantum mechanics. From fundamental concepts such as probability and statistics to more advanced topics like matrix operations and linear transformations, this section builds the necessary mathematical foundation for understanding quantum systems.
9 videos
In this module, we will dive deep into the physics of qubits, focusing on key quantum phenomena such as superposition, interference, and entanglement. You will also learn about Qubit states and how multi-qubit systems function, along with the Braket notation essential for understanding quantum states.
6 videos1 reading1 assignment
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
University of Colorado Boulder
Build toward a degree
Course
Specialization
Fractal Analytics
Course
University of Colorado Boulder
Build toward a degree
Specialization
14 reviews
57.14%
28.57%
14.28%
0%
0%
Showing 3 of 14
Reviewed on Jan 12, 2025
session is good, please send the PPT to email is swatidhadake@gmail.com
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.