Tensor network algorithms are sweeping through not only the field of many-body quantum physics where they originated, but also the quantum computing industry and, more broadly, all the business and technical fields that use tensors. This includes areas such as machine learning where important tools (e.g., TensorFlow and Tensor Processing Units) are named after tensors. What is driving this adoption? Tensor network algorithms allow classical software to manipulate mathematical objects called tensors more efficiently than ever before, driving impressive performance gains. - [[Tensor Networks 101]] - [[Quantum Algorithms x Tensor Networks]] - [[Tensor Networks Applications]]