For reliable and consistent quantum information processing carried out on a quantum network, the network structure must be fully known and a desired initial state must be accurately prepared on it. In the talk, I show two continuous-measurement-based methods to achieve the above requirements, for a class of spin networks with its single node only accessible. The first one identifies the unknown network structure with high probability, based on continuous-time Bayesian update of the graph structure. The second one is, with the use of adaptive measurement technique, able to deterministically drive any mixed state to a spin coherent state for network initialization.
Arxiv: 1305.0418, to appear in New J. Physics.