Survey of Tensor Networks

Tensor networks have become a robust method over the past few decades to represent quantum systems and solve them efficiently. These numerical methods can optimize a system by keeping the most important degrees of freedom, allowing us to solve large systems more efficiently. We review the fundamentals of this field, including a deep connection with entanglement. Basic aspects of tensor networks and common algorithms are presented. Specifically, algorithms for classical spin systems are compared to study their effectiveness.