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For reliable and consistent quantum information processing carried out on aquantum network, the network structure must be fully known and a desiredinitial state must be accurately prepared on it. In this paper, for a class ofspin networks with its single node only accessible, we provide twocontinuous-measurement-based methods to achieve the above requirements; thefirst one identifies the unknown network structure with high probability, basedon continuous-time Bayesian update of the graph structure; the second one is,with the use of adaptive measurement technique, able to deterministically driveany mixed state to a spin coherent state for network initialization.

Structure identification and state initialization of spin networks with limited access