GSOC RL project

This is an update to the beta release of qutip-qoc.

It mainly introduces the new reinforcement learning algorithm qutip_qoc._rl.

Features

• New reinforcement learning algorithm, developed during GSOC24 (#19, #18, by LegionAtol)
• Automatic transformation of initial and target operator to superoperator (#23, by flowerthrower)

Bug Fixes

• Prevent loss of __time__ keyword in optimize_pulses (#22, by flowerthrower)

Full Changelog: v0.1.0b1...v0.1.1

QOC beta release

This is the first official beta version release of qutip-qoc.
The current project features two new optimization routines (GOAT, JOPT) and a fresh optimization interface.
It also provides the familiar qutip-qtrl methods (CRAB, GRAPE) leading to a temporary dependency on it.
The first proper version release will no longer require this dependency however.

Finally, this version is supposed to allow early access for interested users while encouraging feedback from the community.