Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints

Javier Lopez-Piqueres, Jing Chen

In this study, we introduce a novel family of tensor networks, termed constrained matrix product states (MPS), designed to incorporate exactly arbitrary discrete linear constraints…