  Tensor networks give simple representations of complex quantum states. They
have proven useful in the study of condensed matter systems and conformal
fields, and recently have provided toy models of AdS/CFT. Underlying the tensor
network - AdS/CFT connection is the association of a graph geometry with the
tensor network. In the context of the AdS/CFT correspondence tensor network
models have so far been limited to describing static spacetimes. In this thesis
we look to extend tensor network models of AdS/CFT by describing the geometry
of a dynamic spacetime using a tensor network. We provide a review of tensor
networks in the context of AdS/CFT to motivate this extension, before proposing
modifications of holographic tensor network models that capture features of
AdS/CFT with dynamic spacetimes.
  This thesis includes the results of arXiv submission 1611.06220, along with a
review of the relevant literature.
