Quantum
QuTiP
| Quantum | QuTiP | |
|---|---|---|
| 1 | 6 | |
| 3,843 | 1,591 | |
| - | 1.9% | |
| 7.6 | 9.8 | |
| 4 months ago | 7 days ago | |
| Jupyter Notebook | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Quantum
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Shor's Algorithm
Here's a nice blog post which contains references. It uses Q#, and Microsoft has many online resources as well, namely a here and here.
QuTiP
- Single Photon Source Simulation in Qiskit?
- Qutip: Simulate Quantum Systems in Python
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Which programming language is best to simulate a quantum computer?
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.
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How much would I benefit if I started working on my coding skills before uni?
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.
- QuTiP (Quantum Toolbox in Python) open-source internship (deadline: 17th Apr 2022) with Google Summer of Code
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Would it be bad to simulate a time-dependent Hamiltonian by evaluating it at discrete t_i and implementing H(t_i) for however many t_i I want?
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.
What are some alternatives?
Pulses.jl - A tiny quantum optimal control library.
qiskit - Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
quantum-benchmarks - benchmarking quantum circuit emulators for your daily research usage
SimPy
quantumcomputingsim - A library to simulate quantum computations
salabim - salabim - discrete event simulation in Python
octadist - A tool for calculating distortion parameters in coordination complexes.
Colour - Colour Science for Python
ObsPy - ObsPy: A Python Toolbox for seismology/seismological observatories.
Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
pint - Operate and manipulate physical quantities in Python