particle trajectories on a cloud chamber

Quantum physics for Engineers

No advanced math - real applications - Deep understanding of quantum physics through code

stack of physics books

From the classic books on Quantum Mechanics to you —

This course breaks down the complexity of quantum physics to any engineer with some coding experience.

Using a modern approach based on numerical computation, we distill the classics so that no advanced mathematics are required.

The Courses —

Select the courses that are now available for streaming and download.

Introduction to numerical computation in Python

Coding to solve differential equations. No repetitive topics. Straight to the point of solving physical systems.

Quantum physics for Engineers I

Introduction to quantum systems, Schrodinger’s equation, basic solutions, quantum tunneling, Numerical solutions for the Hydrogen atom and more. No advanced mathematics beyond multivariable calculus and differential equations.

Our story

Throughout my entire career, I've been breaking down complex math and physics concepts into simpler elements.

This is what I did during my PhD in mathematics, and it’s what I do for work at a hard-tech startup. Simulating electromagnetic propagation, signal analysis, and solving nonlinear optimization problems, it’s all part of what I do.

It’s been a dream to one day break down quantum physics in this same way. Using the beauty of numerical methods, combined with the wide access to coding tools that is commonplace for every engineer now, we were able to reduce the need for an advanced mathematical formalism in order to reproduce some of the interesting results of quantum mechanics.

I created these courses to give access to a more general audience of engineers, and I am passionate to help you learn.

Enjoy the course!

Our differentiators

No advanced math: No operator theory, no basis, no algebra. None of that. Differential equations, yes, but solved using simple numerical methods instead of convoluted techniques that lead to analytical solutions (that are not practical applications anyways).

Hands on and real examples. We don’t spend time talking about the history of QM, but instead reproducing concepts and real experiments with numerical approximations (using code).

No leaps of knowledge - No gaps - We strive to create a course that delivers deep understanding without hidden complexity.

Not a 9-10 weeks course - First course is 90 mins, followed at your pace so that you are proficient while you do it.

See the behind the scenes - Streaming on Twitch

Prep with Us —

Be part of the process of creating these courses and give your input. Jump into the scheduled Twitch streams to tell us what you want to learn. It’s the main way to make sure the content you want makes it to the courses.

Consider subscribing to our newsletter and sending us your ideas. We would love to hear from you.

We believe our course is only as good as the clarity of its content.

Behind the books —

Check our our blog for updates, press, and to learn more about what goes on in our studio.


4/03/24


4/25/24

Twitch stream - Coding live


5/09/24

Twitch stream - Numerical problem solving for real applications