Matthew Fishman received a PhD in physics from Caltech in the spring of 2018. His thesis was on the development of new tensor network algorithms for studying quantum many-body systems. In the fall of 2019, he started as an Associate Data Scientist at the Center for Computational Quantum Physics, part of the Flatiron Institute in New York City. There, he is lead developer of the C++ and Julia versions of the ITensor library, a leading software package for performing tensor network calculations.
Tensor networks encapsulate a large class of low rank decompositions of very high order -- potentially infinite order -- tensors. They have found a wide variety of uses in physics, chemistry, and data science. ITensors.jl is a high performance Julia library with a unique memory independent interface that makes it easy to use and develop tensor network algorithms. In this talk, I will give an overview of the library and new features that have been added since its release last year.