Preprint
Jul 2026
(MPO)$^2$: Multivariate Polynomial Optimization based on Matrix Product Operators
This work introduces Multivariate Polynomial Optimization based on Matrix Product Operators (MPO)$^2$, a framework that combines learned MPO feature embeddings with compact polynomial weight tensors that yields feature order independent polynomial representations that can incorporate structured operators such as projections, convolutions, and masks for weight tensor symmetries.
Niccolo' Ciolli, Anders Vestergaard Norskov, Michael J. Kastoryano et al.
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