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This research presents a novel algorithm for optimizing matrix product states in interacting fermion systems by utilizing block entropy area to construct effective disentangler Hamiltonians. The method integrates density matrix renormalization group techniques with gradient-based entanglement minimization to efficiently determine ground states and optimized single-particle bases. Demonstrated on 2D lattice models and the Fe₄S₄ cluster, the approach offers significant improvements over traditional nearest-neighbor rotation protocols for simulating many-body quantum systems.
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Block entropy area based non-local fermionic mode optimization with gradient disentanglers

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arXiv:2609.11811v1 Announce Type: cross Abstract: We introduce a systematic block entropy area based mode optimization algorithm for many-body quantum states of interacting fermions represented by matrix product states. From the gradient of a global cost function, the block entropy area, a long-ranged, non-interacting effective disentangler Hamiltonian is formed. We then simulate the time-dependent Schr\"odinger equation driven by the disentangler Hamiltonian by employing the time-dependent variational principle based on projector splitting, and minimize the cost function. The combination of the density matrix renormalization group with this gradient-based entanglement minimization forms an efficient low-rank iterative ground-state algorithm that also provides an optimized single-particle basis for matrix product state representation. We demonstrate the method on two-dimensional lattice models of interacting fermions and the Fe${_4}$S${_4}$ cluster, and show its robustness and superiority over earlier protocols using nearest-neighbor mode rotations and reorderings.

Abstract:We introduce a systematic block entropy area based mode optimization algorithm for many-body quantum states of interacting fermions represented by matrix product states. From the gradient of a global cost function, the block entropy area, a long-ranged, non-interacting effective disentangler Hamiltonian is formed. We then simulate the time-dependent Schrödinger equation driven by the disentangler Hamiltonian by employing the time-dependent variational principle based on projector splitting, and minimize the cost function. The combination of the density matrix renormalization group with this gradient-based entanglement minimization forms an efficient low-rank iterative ground-state algorithm that also provides an optimized single-particle basis for matrix product state representation. We demonstrate the method on two-dimensional lattice models of interacting fermions and the Fe${_4}$S${_4}$ cluster, and show its robustness and superiority over earlier protocols using nearest-neighbor mode rotations and reorderings.

Strongly Correlated Electrons (cond-mat.str-el); Statistical Mechanics (cond-mat.stat-mech); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2609.11811 [cond-mat.str-el]

(or arXiv:2609.11811v1 [cond-mat.str-el] for this version)

https://doi.org/10.48550/arXiv.2609.11811 arXiv-issued DOI via DataCite (pending registration)

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