This presentation will overview ongoing research on a class of feedback control systems termed Quantum Hybrid Controllers (QHC) that are specified at multiple Levels of Abstraction. QHS is a new type of system control that is truly HYBRID. Its dynamics is determined at three coordinated levels of abstraction: Quantum; Stochastic; and Thermodynamic. QHCs are devices or components of devices which are designed to interact with a quantum system so that the resulting quantum network operates according to a macroscopic specified behavior encoded in a suitably defined Hamiltonian function. Current efforts in specifying and implementing quantum control systems typically are based on modeling the system and the related control as quantum networks. This approach would not work for many nanotechnology applications because of the difficulty of translating macroscopic desired behaviors to quantum desired behaviors. Our design approach involves two steps: 1- formulation and algorithmic solution at the macroscopic level, of a Hamiltonian following optimization problem and 2- Quantization of the resulting controller via Weyl or Similar Quantization Schemas. The Hamiltonian of the system to be controlled need not be completely known. We will show that the resulting design is an affine feedback controller characterized by a controller Hamiltonian operator. We will discuss possible realizations of QHS with networks of quantum, dots, wires and wells. We will illustrate QHS with a light harvesting application currently under development.