The listing of preprints by Tomotoshi Nishino

Software packages and libraries:

- TeNPy: Python library for tensor product state based simulations
- Uni10: C++ library for implementing tensor product calculations with Python bindings
- iTensor: C++ library for implementing tensor product calculations
- TNT: C library for implementing tensor product calculations
- ALPS: Algorithms and Libraries for Physics Simulations
- GuiTeNet: Graphical user interface for tensor networks

Talks

- Talks from the Workshop and Symposium on DMRG Technique for Strongly Correlated Systems in Physics and Chemistry, Natal, June 2015.
- Talk from the International Workshop on Tensor Networks and Quantum Many-Body Problems, Tokyo, July 2016
- Tensor Network Talks at the Perimeter Institute.

Review articles:

- U. Schollwoeck,
*The density-matrix renormalization group*, Rev. Mod. Phys.**77**, 259 (2005). - U. Schollwoeck,
*The density-matrix renormalization group in the age of matrix product states*, Annals of Physics**326**, 96 (2011). - F. Verstraete, V. Murg, and I. Cirac,
*Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems*,

Adv. Phys.**57**, 143 (2008). - I. Cirac and F. Verstraete,
*Renormalization and tensor product states in spin chains and lattices*, J. Phys. A: Math. Theor. 42, 504004 (2009). - R. Orus,
*A practical introduction to tensor networks: Matrix product states and projected entangled pair states*, Annals of Physics**349**, 117 (2014). - N. Schuch,
*Condensed Matter Applications of Entanglement Theory*, in Quantum Information Processing. Lecture Notes of the 44th IFF Spring School 2013. - J. Eisert, Entanglement and tensor network states, Modeling and Simulation 3, 520 (2013)
- Johannes Hauschild and Frank Pollmann, Efficient numerical simulations with Tensor Networks: Tensor Network Python (2018)

Tutorials and sample codes

- Simple Python codes of various tensor algorithms