blackbird VS QuTiP

QuTiP: https://qutip.org/

Hello HN

We’re excited to present Dynamiqs, a Python library for simulating quantum systems. It is developed by PhD students in Paris working for Alice&Bob, a quantum computers start-up (https://alice-bob.com). Dynamiqs focuses on physical-level simulation (Schrödinger equation, Lindblad master equation, etc.) rather than quantum circuit simulation. You can think of it as a GPU-accelerated alternative to QuTiP (https://qutip.org).

Key Features:

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.

If you're talking about simulating a hamiltonian on a regular computer then you may want to check out Qutip. It's a python module where a lot of this stuff has already been worked out, including simulating time dependent hamiltonians. I did an undergrad project on QC and this helped me get past a lot of the roadblocks like this and freed up more time to learn about the field, it also becomes a useful toy to play around with and get an intuition for a lot of stuff.