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This research addresses fundamental limitations in tensor network methods by resolving discrepancies between matrix product state approximations and conformal field theory predictions for critical systems. By introducing a sparse linear solver that implicitly calculates derivatives, the authors provide a more stable optimization primitive essential for advancing projected entangled pair states. This work strengthens the theoretical underpinnings of quantum simulation techniques used to model strongly correlated electron systems.
Sources coveringarXiv, Quantum Computing Report, LessWrong, Quantum Zeitgeist
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On the origin of finite entanglement scaling

arXiv2 min read

arXiv:2607.15124v2 Announce Type: replace Abstract: The concept of finite entanglement scaling forms one of the pillars on which the tensor network ecosystem is built. In this paper, we resolve the open problem of determining the actual perturbations induced by matrix product state approximations of critical systems, and we demonstrate that these can be quite different than the ones predicted by conformal field theory. To that aim, we develop a sparse linear solver to calculate the forward and backward derivatives of 2-dimensional tensor networks with respect to their defining parameters in an implicit way. This algorithm is of independent interest as it provides a primitive for the variational optimization of projected entangled pair states that circumvents the instabilities plaguing traditional automatic differentiation methods.

Abstract:The concept of finite entanglement scaling forms one of the pillars on which the tensor network ecosystem is built. In this paper, we resolve the open problem of determining the actual perturbations induced by matrix product state approximations of critical systems, and we demonstrate that these can be quite different than the ones predicted by conformal field theory. To that aim, we develop a sparse linear solver to calculate the forward and backward derivatives of 2-dimensional tensor networks with respect to their defining parameters in an implicit way. This algorithm is of independent interest as it provides a primitive for the variational optimization of projected entangled pair states that circumvents the instabilities plaguing traditional automatic differentiation methods.

Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el); High Energy Physics - Lattice (hep-lat)

arXiv:2607.15124 [quant-ph]

(or arXiv:2607.15124v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2607.15124 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 219 words

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