QC151 Quantum Physics for Quantum Computing – Udemy

(10 customer reviews)




What you’ll learn

  • Build a strong foundation in Quantum Physics to help you learn advanced topics in Quantum Computing
  • Develop an intuitive understanding of Superposition and Entanglement using Simulators

This is a follow-on course to QC101. It helps you gain an intuitive and qualitative understanding of basic quantum physics to help you understand more advanced quantum computing courses.

Unlike the earlier QC101 course, this course has very little Math. The aim is to help you understand qualitatively how the physics of quantum mechanics works.

Why do you need a Qualitative Understanding of Quantum Physics?

The Math of quantum physics is different, but it is not complicated. In many ways it is simpler than the engineering calculus that many of you studied in college. Although quantum math is simple, its mathematical simplicity hides many strange, yet important behaviors.

For instance, the mathematical representation of a Bell State is very simple. But the physical implications of a Bell State are weird. A photon has an angle of polarization, a property that is like a direction. But strangely, photons that are entangled in the Bell State behave as though they have no preferred angle or direction.

An intuitive appreciation of such weird behavior will be useful when I present more advanced topics on quantum algorithms in later courses.

To help you understand quantum physics qualitatively, I have provided simulators written in Java. Running the simulators and studying the Java source-code will help you gain a qualitative understanding that goes beyond merely knowing how to do the Math.

How can you get the most from this course?

Unlike the earlier QC101, this course is light on Math. The primary aim of this course is to ensure that you are completely comfortable with the implications of superposition and entanglement. I spend a lot of time reinforcing basic concepts that were already introduced in QC101. Later in the course, I highlight some weird implications of entanglement.

The content is not challenging. But don’t stop with viewing the videos. To get the most from this course, I encourage you to run my simulators with your own virtual experiments.

The first 16 lessons can be previewed for free. Watch the free preview lessons and enroll today.

Who this course is for:

  • Students who want to learn advanced quantum computing concepts

Course content

  • Introduction
  • Polarization of Light
  • Quantum Behavior of Polarizers
  • Information in Quantum Systems
  • Quantum Measurement
  • Single Particle Systems – Superposition & Measurement
  • Two Particle Systems – Entanglement & Bell States
  • Conclusion

10 reviews for QC151 Quantum Physics for Quantum Computing – Udemy

  1. 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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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!

  7. 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

  8. 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.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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