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PauLie addresses a critical computational bottleneck in quantum control by efficiently classifying dynamical Lie algebras generated by Pauli strings, replacing exponential brute-force methods with a scalable polynomial-time framework. This tool enables faster preprocessing for simulation routing, Cartan decomposition, and the diagnosis of barren plateaus in variational algorithms, directly advancing practical quantum system engineering.
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PauLie: Fast Classification of Pauli Dynamical Lie Algebras

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arXiv:2608.30771v1 Announce Type: new Abstract: The dynamical Lie algebra (DLA) governs the controllability, expressibility, and simulation complexity of a quantum system. Explicitly computing it has been a major computational bottleneck: brute-force Lie closure scales exponentially in the number of qubits $n$. Many applications, however, consult only the isomorphism type of the DLA. We introduce PauLie, an open-source framework that decides this isomorphism type for DLAs generated by arbitrary Pauli strings, building on the anticommutation-graph reduction of Aguilar et al. PauLie runs in $O(n|\mathcal{G}|\max(n,|\mathcal{G}|))$ time, where $|\mathcal{G}|$ is the number of generators, turning DLA classification into a routine preprocessing step. We demonstrate its use as a structural oracle for routing Lie-algebraic simulation and Cartan decomposition, diagnosing barren plateaus in variational quantum algorithms, and engineering universal Pauli string generator sets with optimal generation rate.

Abstract:The dynamical Lie algebra (DLA) governs the controllability, expressibility, and simulation complexity of a quantum system. Explicitly computing it has been a major computational bottleneck: brute-force Lie closure scales exponentially in the number of qubits $n$. Many applications, however, consult only the isomorphism type of the DLA. We introduce PauLie, an open-source framework that decides this isomorphism type for DLAs generated by arbitrary Pauli strings, building on the anticommutation-graph reduction of Aguilar et al. PauLie runs in $O(n|\mathcal{G}|\max(n,|\mathcal{G}|))$ time, where $|\mathcal{G}|$ is the number of generators, turning DLA classification into a routine preprocessing step. We demonstrate its use as a structural oracle for routing Lie-algebraic simulation and Cartan decomposition, diagnosing barren plateaus in variational quantum algorithms, and engineering universal Pauli string generator sets with optimal generation rate.

arXiv:2608.30771 [quant-ph]

(or arXiv:2608.30771v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.30771 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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