Carmelo Vellón Gascón

On the Scope of Compression-Error Bounds in Tensor-Network Error Mitigation: A propagated-residual counterexample, an exact observable-level decomposition, and two sufficient repairs

Tensor-network error mitigation (TEM) applies a matrix-product-operator approximation to the inverse of a characterized global noise map in classical post-processing. This work retains the exact, untruncated TEM inversion identity under invertible layerwise noise and analyzes wha...

On the Scope of Compression-Error Bounds in Tensor-Network Error Mitigation: A propagated-residual counterexample, an exact observable-level decomposition, and two sufficient repairs

Tensor-network error mitigation (TEM) applies a matrix-product-operator approximation to the inverse of a characterized global noise map in classical post-processing. This work retains the exact, untruncated TEM inversion identity under invertible layerwise noise and analyzes wha...