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Research PaperResearchia:202609.11073

Block entropy area based non-local fermionic mode optimization with gradient disentanglers

Miklós Antal Werner

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 ...

Submitted: September 11, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

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 Fe4{_4}S4{_4} cluster, and show its robustness and superiority over earlier protocols using nearest-neighbor mode rotations and reorderings.


Source: arXiv:2609.11811v1 - http://arxiv.org/abs/2609.11811v1 PDF: https://arxiv.org/pdf/2609.11811v1 Original Link: http://arxiv.org/abs/2609.11811v1

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Date:
Sep 11, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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Block entropy area based non-local fermionic mode optimization with gradient disentanglers | Researchia