Apr 29, 2020
I really enjoyed this course! I have taken a couple more introductory MOOCs on quantum computing, and this one definitely offers a new perspective. I really liked learning about the density matrix representation, which I hadn’t seen before. I also found very useful how the derivation of the Quantum Fourier Transform (QFT) was done. It was more on the mathematical side, but with some additional reading on the intuition behind it, it really helped me understand how qubits are mapped between the computational and Fourier basis. Quantum error correction was another subject covered that usually is not presented at an introductory level. The example presented for Shor’s algorithm was also very helpful.
My only critique would be that some of the material might be a bit advanced for someone that hadn’t been exposed to quantum computing. I think that for someone new to QC, perhaps taking this course side by side with the other one offered by Saint Petersburg State University (The Introduction to Quantum Computing) is probably a good idea; there is a little bit of overlap in some subjects, but I think they complement each other very well.
創建者 Saptarshi S•
May 23, 2020
Please provide some after-lecture notes. It helps a lot.
創建者 Matt H•
Apr 19, 2020
Interesting subject matter. Great introduction to the subject for someone with a Computer Science background.
創建者 naresh k m•
May 14, 2020
This course is really challenging.
創建者 Hassan A•
Apr 28, 2020
Excellent course for physics Students!
創建者 Charlotte M•
Jul 10, 2020
Good introductory course for quantum computing. In order to complete the course you need to have a good understanding of quantum mechanics, I have a university degree in physics and I wouldn't have been able to complete the course without that background. The course is very maths heavy and there aren't any lecture notes, just videos to follow.