References

  • Fishman, M.; White, S. R. and Stoudenmire, E. M. (2022). The ITensor Software Library for Tensor Network Calculations. SciPost Phys. Codebases, 4.
  • Gray, J. (2018), quimb: A python package for quantum information and many-body calculations. Journal of Open Source Software 3, 819.
  • Gray, J. and Kourtis, S. (2021). Hyper-optimized tensor network contraction. Quantum 5, 410.
  • Hauschild, J.; Pollmann, F. and Zaletel, M. (2021). The Tensor Network Python (TeNPy) Library. In: APS March Meeting Abstracts, Vol. 2021; p. R21–006.
  • Ramón Pareja Monturiol, J.; Pérez-García, D. and Pozas-Kerstjens, A. (2023). TensorKrowch: Smooth integration of tensor networks in machine learning, arXiv e-prints, arXiv–2306.