Amplituhedra for generic quantum processes via the TQNN representation of UQC
This paper establishes a formal correspondence between topological quantum neural networks (TQNNs), which implement universal quantum computation and error correction via Reshetikhin-Turaev and Turaev-Viro models, and amplituhedra, thereby demonstrating that amplituhedra serve as geometric representations of generic quantum processes rooted in underlying topological structures.