QuTiP is pretty simple to use at an entry level for anyone with basic Python skills. However, some Python skills are necessary. A graphical user interface (GUI) for some parts of qutip could help make qutip more accessible. This could be particularly helpful in education, for teachers and learners.
Ideally, interactive components could be embedded in web pages. Including, but not limited to, Jupyter notebooks.
The scope for this is broad and flexible. Ideas including, but not limited to:
Interactive Bloch sphere¶
QuTiP has a Bloch sphere virtualisation for qubit states. This could be made interactive through sliders, radio buttons, cmd buttons etc. An interactive Bloch sphere could have sliders for qubit state angles. Buttons to add states, toggle state evolution path. Potential for recording animations. Matplotlib has some interactive features (sliders, radio buttons, cmd buttons) that can be used to control parameters. that could potentially be used.
Options to configure dynamics generators (Lindbladian / Hamiltonian args etc) and expectation operators. Then run solver and view state evolution.
QIP circuits could be animated. Status lights showing evolution of states during the processing. Animated Bloch spheres for qubits.
Interactive graphical components for demonstrating quantum dynamics
Web pages for qutip.org or Jupyter notebooks introducing quantum dynamics using the new components
Git, Python and familiarity with the Python scientific computing stack
elementary understanding of quantum dynamics
Nathan Shammah (email@example.com)
Alex Pitchford (firstname.lastname@example.org)
Simon Cross (email@example.com)
Boxi Li (firstname.lastname@example.org) [QuTiP GSoC 2019 graduate]