QC151 Quantum Physics for Quantum Computing
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
Course content
- Preview03:22
- Preview03:43
Requirements
- All the Math covered in QC051 Math Foundation for Quantum Computing
- 12th grade level high school Math and Physics
- Fundamentals of Quantum Computing as covered in QC101
- You must know how to compile and run simple Java programs. Elementary knowledge of Java is enough.
Description
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
Instructor
![Kumaresan Ramanathan](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 1,742 Reviews
- 5,692 Students
- 5 Courses
I am passionate about making technology easy to understand. I have taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, iCOMS, Empirix, Relona, and Johnson & Johnson.
My goal is to help you earn more than $200,000 annually as a software professional. I focus on teaching AI and Quantum Computing because these are the highest paid skills in the industry.
My courses help beginners who have a basic understanding of high school Math and coding. In about 6 months you can complete several courses and become an expert earning $200+ per hour.
In addition to teaching technical skills, I also help you build leadership ability. My courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design.
My courses have a 30 day money back guarantee. Check out the free video previews and enroll today.
I have an electrical engineering degree from IIT and a masters degree in computer science from the University of Massachusetts. I have managed software teams and helped startups launch products in international markets.
I have lived most of my professional life in the Boston area. I enjoy reading science fiction and economic theory. I am a gourmet who loves to try out interesting recipes and new restaurants with friends and family.