Classifying fermionic states via many-body correlation measures

• URL: http://arxiv.org/abs/2309.07956v2
• Date: Tue, 23 Apr 2024 21:17:44 GMT
• Title: Classifying fermionic states via many-body correlation measures
• Authors: Mykola Semenyakin, Yevheniia Cheipesh, Yaroslav Herasymenko,
• Abstract summary: We make progress in establishing the link between fermionic correlations and efficient computational physics methods. We find a rigorous classification of states relative to $k$-fermion correlations, which admits a computational physics interpretation.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Understanding the structure of quantum correlations in a many-body system is key to its computational treatment. For fermionic systems, correlations can be defined as deviations from Slater determinant states. The link between fermionic correlations and efficient computational physics methods is actively studied but remains ambiguous. We make progress in establishing this connection mathematically. In particular, we find a rigorous classification of states relative to $k$-fermion correlations, which admits a computational physics interpretation. Correlations are captured by a measure $\omega_k$, a function of $k$-fermion reduced density matrix that we call twisted purity. Vanishing of $\omega_k$ for a given $k$ puts the state in a class $G_k$ of correlated states. Sets $G_k$ are nested in $k$, Slater determinants correspond to $k = 1$. Various physically relevant states are in or close to $G_{k=O(1)}$, including truncated configuration-interaction states, perturbation series around Slater determinants, and some nonperturbative eigenstates of the 1D Hubbard model. For each $k = O(1)$, we give an explicit ansatz with a polynomial number of parameters that covers all states in $G_k$. Potential applications of this ansatz and its connections to the coupled-cluster wavefunction are discussed.

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