
Udemy – QC201 : Advanced Math for Quantum Computing 2022-1
Published on: 2024-10-09 20:58:59
Categories: 28
Description
QC201 Course: Advanced Math for Quantum Computing This course covers the mathematical knowledge you need to start learning quantum algorithms and applications of quantum computing. This course is primarily a math course. No quantum algorithms or applications are covered. This course will teach you the math you need to start learning quantum algorithms. Quantum algorithms will be covered in later courses. Almost everything is explained in this course with detailed proofs. After completing this course, quantum physics won’t seem so mysterious anymore. To get the most out of this course, you should be thoroughly familiar with all the topics covered in the previous prerequisite courses, namely QC051, QC101 and QC151.
What you will learn:
- Orthogonal normalization
- Basis vectors and basis change
- Tensor multiplication
- Multiqubit tensorial algebra
- Entanglement in terms of degrees of freedom
- Minor measurements
- Encryption with entanglement
- Decomposition of Hermitian and unitary matrices into outer product sum
- Super dense coding
- Quantum state transition
- Proof of the non-copying theorem
- Bell’s theorem (expression and proof)
- Advanced Mathematical Techniques for Quantum Computing
This course is suitable for people who:
- They have taken my previous courses and want to go to the next level in quantum computing.
QC201 course specifications: Advanced Math for Quantum Computing
- Publisher: Udemy
- Lecturer: Kumaresan Ramanathan
- Training level: beginner to advanced
- Training duration: 3 hours and 46 minutes
- Number of courses: 36
Course headings

Prerequisites of the QC201 course: Advanced Math for Quantum Computing
- Complete QC051, QC101, and QC151 before taking this course
Course images

Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
download link
Download file – 450 MB
File(s) password: www.downloadly.ir
File size
450 MB
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