Description
What you’ll learn

Use quantum cryptography to communicate securely

Develop, simulate, and debug quantum programs on Microsoft Q#

Run quantum programs on a real quantum computer through IBM Quantum Experience

Use Dirac’s notation and quantum physics models to analyze quantum circuits
Quantum Computing is the next wave of the software industry. Quantum computers are exponentially faster than classical computers of today. Problems that were considered too difficult for computers to solve, such as simulation of protein folding in biological systems, and cracking RSA encryption, are now possible through quantum computers.
How fast are Quantum Computers? A 64bit quantum computer can process 36 billion billion bytes of information in each step of computation. Compare that to the 8 bytes that your home computer can process in each step of computation!
Companies like Google, Intel, IBM, and Microsoft are investing billions in their quest to build quantum computers. If you master quantum computing now, you will be ready to profit from this technology revolution.
This course teaches quantum computing from the ground up. The only background you need is 12th grade level highschool Math and Physics.
If it has been a while since you completed your highschool Math courses, and if you want a quick review, take a look at the prerequisites course: QC051: Math Foundation for Quantum Computing.
IMPORTANT: You must enjoy Physics and Math to get the most out of this course. This course is primarily about analyzing the behavior of quantum circuits using Math and Quantum Physics. While everything you need to know beyond 12th grade high school science is explained here, you must be aware that Quantum Physics is an extremely difficult subject. You might frequently need to stop the video and replay the lesson to understand it. How will you know if this course is right for you? The first 13 lessons in the course can be previewed for free. Watch the free previews before purchasing the course. If you enjoy the first 13 lessons, you will probably enjoy the rest of the course.
In the first part of this course you will learn to communicate securely using quantum cryptography.
Next, you will learn basic quantum physics along with the mathematical tools you need for analyzing quantum systems.
Finally, you will use industry tools to develop quantum software: Microsoft Q# on Visual Studio and IBM Quantum Experience.
Additionally, the course materials include a downloadable Q# framework that you can use to experiment with quantum algorithms, entanglement, and superposition.
Enroll today and join the quantum revolution!
Who this course is for:
 Software professionals and technical managers who want to learn quantum computing and enjoy Math & Physics
Course content
 Introduction
 Quantum Cryptography
 Foundation: Complex Numbers, Probability, Linear Algebra & Logic
 Developing a Math Model for Quantum Physics
 Quantum Physics of Spin States
 Modeling Quantum Spin States with Math
 Reversible and Irreversible State Transformations
 MultiQubit Systems
 Entanglement
 Quantum Computing Model
Donny Phan –
Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum
Madhav raj Verma –
Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.
Sachin Gupta –
I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.
Vincent Beaudet –
Amazing 40 days course.
Angela is a great teacher.
The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.
Exercices format and explanations for the first 40 days were worth it tho.
Ben K –
Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.
Omid Alikhel –
I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!
Devang Jain –
The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end
Szymon Kozak –
I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.
Begoña Ruiz Diaz –
Ha sido la mejor elección que podría haber hecho.
Vaibhav Sachdeva –
I want to thank Angela for making such an amazing course. It really helped me explore more things with python.