QCSim VS qiskit

I implemented one myself, just for fun: https://github.com/aromanro/QCSim I intend to extend/improve it further. For somebody that knows C++ maybe it's worth checking out.

Just for fun, since you are a software engineer, do what I did while you go over that book: implement a quantum computer simulator (here it is mine: https://github.com/aromanro/QCSim).

If beginner, get this: https://www.cambridge.org/highereducation/books/quantum-computation-and-quantum-information/01E10196D0A682A6AEFFEA52D53BE9AE#overview go over it and if you can implement a quantum computing simulator afterwards (it's easy, here is one I implemented: https://github.com/aromanro/QCSim), you probably can take an informed decision.

I can think of only two things that might appear a little bit more complex: partial measurement of the register and extending the operators to be applied on the register, otherwise it's quite straightforward. I added some notes in the README for the project describing the code a little: https://github.com/aromanro/QCSim

I implemented that here: https://github.com/aromanro/QCSim/blob/master/QCSim/ShorCode.h part of this project: https://github.com/aromanro/QCSim

Here is the code again: https://github.com/aromanro/QCSim just in case you don't see my other comment.

That's what I did: https://github.com/aromanro/QCSim

Qiskit

Hello, guys. I am a newbie to quantum computing. I got a question when reading the textbook on Qiskit.org.

Second talk: Gesture Classification on a Smartphone Web-App using a Quantum ComputerDavid Alber and Olaf Hahn will demonstrate that Quantum enhanced Support Vector Machines (QSVMs) can be utilized to classify gestures made by a conventional smartphone. They will showcase how developers can utilize the Qiskit Python framework and provision IBM Cloud and IBM Quantum resources to integrate such models in a traditional application environment seamlessly.Machine learning and quantum are promising technologies with the potential to address yet intractable problems. The hybrid nature of QSVMs makes it possible to deploy such models already today. We will show you how.

Also, see Shor's algorithm for a quantum approach to prime factorization, and maybe have a play with qiskit

Qiskit

I think Python would be a more mainstream choice and so you'll find modules like qiskit or [qutip(https://qutip.org/) already exist and will make life easier.

If you want to be a bit more physics-focused in your coding, it might help to dig up a course or textbook on numerical methods in physics. Being able to numerically solve differential equations is probably the most generally applicable skill in physics. Machine learning methods are pretty ''hot right now'' and might be fun to have a look into. And for quantum technology in particular, you might enjoy having a look at some python packages like Kwant for quantum transport, QuTiP for quantum dynamics and Qiskit for quantum computing. You won't understand the physics for this for quite some time, they might help serve as a bit of inspiration and an indication as to what physicists can use programming for.