Tensor Network States: Algorithms and Applications (TNSAA 2018)

Tensor network states have in recent years emerged as a powerful theoretical tool to study quantum collective phenomena. Some of the most popular tensor networks, such as the matrix product state (MPS), the multi-scale entanglement renormalization ansatz (MERA), and the projected entangled-pair states (PEPS), are currently used by many groups as the basis for variational approaches to many-body systems. However, the tensor network formalism goes well beyond numerical methods, and it is also used e.g., as a natural framework to classify phases of quantum matter, or as a lattice realization of the holographic principle of string theory.

The workshop "Tensor Network States: Algorithms and Applications" will be held in Beijing during January 1-5, 2018. In this workshop we will bring together experts on tensor network algorithms and their wide spectrum of applications, from statistical mechanics to condensed matter, from quantum chemistry to nano-technology and high energy physics. Morning research talks will be complemented with pedagogical lectures and tutorials in the afternoons.

This workshop is by invitation only. However we also welcome public participation.