QuantumControl.jl: A modern framework for quantum optimal control

We present recent advances in the Julia QuantumControl.jl software framework. The framework contains state-of-the-art implementations of methods for simulating the dynamics of open and closed quantum systems and open loop quantum control, specifically GRAPE and Krotov's method. By exploiting semi-automatic differentiation, it can optimize any computable optimization functional without the memory overhead traditionally associated with automatic differentiation. This includes non-analytic functionals such as entanglement measures. The flexibility of the Julia language allows to easily extend the framework with problem-specific data structures with a runtime performance that rivals traditional compiled languages such as Fortran. We demonstrate the use of the framework for tasks in quantum information and quantum metrology.