qredtea of the Quantum TEA library with version v0.0.15 contains tensor classes compatible with Quantum TEA's qtealeaves. The additional tensor classes use torch, jax, or tensorflow as backend for tensor operations instead of numpy/cupy or implement tensors with an Abelian symmetry. Please consider citing them in addition to the software package depending on your use case: 1) Daniel Jaschke et al., "Benchmarking Quantum Red TEA on CPUs, GPUs, and TPUs", arXiv 2409.03818 2) Pietro Silvi et al., "The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems", SciPost Physics Lecture Notes, 008 (2019) 3) Simone Montangero, "Introduction to Tensor Network Methods", Springer (2018) (Authors are in alphabetical order.)