Quantum Computing: A Primer Course and Its Applications in Machine Learning
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✅️ 2Sections: 1Section: 286 Video 11h 54m Total Length 17Pdf • 2Section: Books: 7Pdf
QC101: Quantum Computing & Intro to Quantum Machine Learning
A Comprehensive Guide to Quantum Computing and Its Applications
Embark on a journey into the cutting-edge field of quantum computing. This course provides a mathematically rigorous introduction to quantum computing, cryptography, and quantum machine learning. By combining theoretical foundations with practical coding exercises using Python, Q#, and Qiskit, you’ll gain a deep understanding of this revolutionary technology.
Key Course Highlights:
- Math-Based Introduction: Explore the essential mathematical concepts underlying quantum computing, including linear algebra, probability, Boolean algebra, and complex numbers.
- Quantum Physics Explained: Gain a clear understanding of quantum physics through the lens of polarized light, making complex concepts accessible and relatable.
- Quantum Cryptography: Learn about the principles of quantum cryptography and the BB84 protocol for secure key sharing.
- Quantum Circuits and Gates: Dive into the building blocks of quantum programs, including quantum superposition and entanglement.
- Practical Coding: Develop quantum circuits using Microsoft Q# and IBM Qiskit, applying your knowledge to real-world problems.
- Quantum Machine Learning: Discover how quantum computing can accelerate machine learning algorithms and explore the potential applications in various domains.
Who This Course is For:
- Software professionals seeking to expand their knowledge and skills in quantum computing.
- Technical managers looking to understand the potential of quantum technologies.
- Machine learning and AI professionals interested in exploring the intersection of quantum computing and data science.
Prerequisites:
- A solid foundation in 12th-grade level high-school math and physics.
- A passion for mathematics and physics.
Download today and become a pioneer in the quantum revolution!
30 reviews for Quantum Computing: A Primer Course and Its Applications in Machine Learning
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JOSE FRANCISCO A. –
So far I can say this course covers various and interesting topics which I am glad to recall some of them.
I think the order and structure of these topics are right and most of them are clear to understand at the first reading.
A very few of them I had to return back to recap certain key chapters. I have also received great support of the instructor to better understand these particular points.
Ragil.C.T –
excellent course for beginners. will help to understand the quantum basis using basic physics use case
Edward Z. –
This was a very comprehensive and well presented course. Good refresher on needed fundamental mathematics and ML and very good presentation on quantum fundamentals and terminology. Good basic usage of Q# and Qisqit with in-depth, nothing skipped, explanation of what and why each line of code was used. The examples for everything are very good. I learned and relearned a lot. Thanks.
KUMARAN R. –
Detailed explanation of many concepts that anyone can understand. Thank you.
Amelia R. –
Very Good
Muhammad Z. –
Amazing
Kenji –
Yes one of best courses ever
Ravindrudu –
Very easy to follow and understand so far. Its slowly getting interested and also little focus demanding as the course gets deeper
James B. –
Excellent introduction into the concepts of quantum computing. I feel like I have a solid foundation to build on.
Dhairya P. –
The teaching style is genuinely fascinating, you complete one video and you quickly wish to jump to another because of the eagerness to know more about what the Instructor wants to portray about a topic.
In my opinion, a person who has no knowledge in Quantum Computing, can easily grasp over the course material. The instructor actively resolved my questions and I was satisfied with the responses.
Overall, an excellent course !
Dushyant S. –
Good explanation of concepts. Useful examples.
Sundaresan R. –
it will be the spawning point of upcoming quantum enthusiasts like me! cheers!’
Navarro M. –
Great, thank for sharing !
Robert S. –
excellent coverage of Didital logic circuits
Christopher R. –
very good explanations!
Vishnupriya –
Everyone should get involved and learn quantum computing. A great way to start is through Udemy.
Thomas –
I have a background in math and CS. So far, the math review has been a good refresher, especially the subject of complex numbers.
Thirupugazh S. –
this course teaches me the importance of engineering mathamatics
Claire M. –
The explanations are super easy to follow for someone who does not know much physics. It is amazing!
Christian Egeberg M. –
Only just started the course, but so far its great, the teacher speaks clearly and the content is good
John P. –
Great Course!
Slawomir F. –
Very well prepared with all prerequisites explained if needed.
Smruti Soumitra K. –
Very extensive even though its a 101. Helped me to brushed my math and ML fundamentals. Thanks.
Subin K. –
Very well explained concepts. Simple and concise.
Sanjay K. –
THANK U
Anonymized U. –
Explanation and presentation are good
Subhajit G. –
I am just starting to Learn Quantum computing. I know a bit about polarization from my high school and he has a good way of explaining things. I hope this momentum is carried forward in the course.
Mark C. –
Just an impeccably excellent course. I learned a lot of powerful new concepts, a lot of conceptual gaps I previously had in bringing to this excellent course were easily filled in. In my case, for example the instructor of this course clearly explained the connection among Complex Conjugate, Transpose, and Adjoint – this always bothered me in reading and learning for graduate level text books that used these terms but did not explain them. Another thing I very much appreciated concerning this course is that the instructor was very patient in teaching each Quantum Machine Learning concept in small and short duration lessons – I really appreciated this, and his style was both very clear and not-boring. Again, this was an excellent course and I look forward in starting his QC 201 course very soon. Thank you.
Victor Hugo M. –
The theory part is amazing. The English is clear and the explanation transform the complex thing to simple explanation. The labs are well prepared! I learned a lot of quantum with Kumaresan!! Thanks!
Charles Y. –
This course provides a solid overview of quantum computing and machine learning, with clear and comprehensive explanations. The supporting materials and methods are well-designed and easy to follow. The instructor has deep knowledge of the subject, and his explanations are clear and didactic. Thank you and congratulations on providing an excellent introductory course.