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This research establishes rigorous error bounds for approximating quantum correlation functions in non-integrable systems, addressing the critical challenge of simulating many-body dynamics beyond small scales. By validating finite-region approaches against matrix-product-operator simulations, the study provides a mathematically guaranteed framework for assessing accuracy in quantum computational models. This advancement is essential for developing reliable algorithms that can handle the exponential complexity inherent in large-scale quantum system analysis.
Accurate and bounded approximation of quantum correlation functions
arXiv:2609.35114v1 Announce Type: new Abstract: The exact classical simulation of non-integrable quantum systems rapidly becomes intractable beyond small system sizes, yet its role is central to predicting many-body dynamics. Approximate methods alleviate this cost but typically lack rigorous guarantees on their deviation from the exact result. For the infinite-temperature correlation function, we derive a rigorous error bound for approximating the full dynamics within a computable finite-sized region. Applied to autocorrelations, this finite-region approach is especially accurate across one-dimensional systems and beyond, and can further provide rigorous error bounds for other approximate methods, demonstrated here for matrix-product-operator simulations.
Abstract:The exact classical simulation of non-integrable quantum systems rapidly becomes intractable beyond small system sizes, yet its role is central to predicting many-body dynamics. Approximate methods alleviate this cost but typically lack rigorous guarantees on their deviation from the exact result. For the infinite-temperature correlation function, we derive a rigorous error bound for approximating the full dynamics within a computable finite-sized region. Applied to autocorrelations, this finite-region approach is especially accurate across one-dimensional systems and beyond, and can further provide rigorous error bounds for other approximate methods, demonstrated here for matrix-product-operator simulations.
arXiv:2609.35114 [quant-ph]
(or arXiv:2609.35114v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.35114 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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