Tensor networks are an elegant approach for compactly representing very high dimensional wavefunctions and other objects encountered when modeling quantum many-body systems. The success of a tensor network description arises from the locality of interactions between quantum particles, and provides an interesting connection between many-body quantum entanglement and computational efficiency.
Tensor networks are not only a powerful numerical tool, but also provide an interesting way to understand and even classify quantum many-body systems. The development of tensor network algorithms is a dynamic area of research, and CCQ researchers are discovering more efficient and insightful algorithms, as well as using them to solve ever more complex and realistic models. CCQ is also home to the ITensor library for the rapid development of tensor network software.