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This research introduces super natural orbitals (SNOs) as a novel framework for quantifying operator complexity and enabling significant compression of matrix product operators in quantum many-body systems. By analyzing fermionic chains and impurity models, the study demonstrates how SNOs expose factorized structures that simplify the representation of time-evolution operators and local observables. This methodological advance directly addresses core challenges in simulating complex quantum states efficiently, making it essential reading for practitioners in quantum computing and condensed matter physics.
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Super natural orbital representation of many-body operators: structured non-Gaussianity and matrix product operator compression

arXiv2 min read

arXiv:2507.10690v3 Announce Type: replace-cross Abstract: We introduce super natural orbitals (SNOs) for many-body operators, defined as the eigenvectors of the one-body super-density matrix associated with an operator (OBDMO). These objects provide a natural measure of the complexity of operators in terms of non-Gaussianity. We first establish analytical properties of SNOs for time-evolution operators generated by non-interacting Hamiltonians and for Haar-random unitaries. We then perform numerical tensor network simulations to compute the SNOs for both the time-evolution operator and local operators in the Heisenberg picture in two many-body systems: the fermionic $t\text{-}V$ chain and a quantum impurity model. While the $t\text{-}V$ model exhibits no preferred super-orbital basis, the operators in the impurity model display exponentially decaying SNO occupations at all times, indicating that only a few SNOs contribute significantly to quantum correlations. For local Heisenberg-picture operators in the impurity model, we find that the complexity in the SNO basis saturates at long times. Finally, we show that rotating operators into the SNO basis with an appropriate ordering leads to substantial matrix product operator compression by exposing the factorized structure of a large number of SNOs.

Abstract:We introduce super natural orbitals (SNOs) for many-body operators, defined as the eigenvectors of the one-body super-density matrix associated with an operator (OBDMO). These objects provide a natural measure of the complexity of operators in terms of non-Gaussianity. We first establish analytical properties of SNOs for time-evolution operators generated by non-interacting Hamiltonians and for Haar-random unitaries. We then perform numerical tensor network simulations to compute the SNOs for both the time-evolution operator and local operators in the Heisenberg picture in two many-body systems: the fermionic $t\text{-}V$ chain and a quantum impurity model. While the $t\text{-}V$ model exhibits no preferred super-orbital basis, the operators in the impurity model display exponentially decaying SNO occupations at all times, indicating that only a few SNOs contribute significantly to quantum correlations. For local Heisenberg-picture operators in the impurity model, we find that the complexity in the SNO basis saturates at long times. Finally, we show that rotating operators into the SNO basis with an appropriate ordering leads to substantial matrix product operator compression by exposing the factorized structure of a large number of SNOs.

Strongly Correlated Electrons (cond-mat.str-el); Quantum Physics (quant-ph)

arXiv:2507.10690 [cond-mat.str-el]

(or arXiv:2507.10690v3 [cond-mat.str-el] for this version)

https://doi.org/10.48550/arXiv.2507.10690 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 275 words

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