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Related Experiment Video

Updated: Feb 17, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

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Self-adaptive tensor network states with multi-site correlators.

Arseny Kovyrshin1, Markus Reiher1

  • 1ETH Zürich, Laboratorium für Physikalische Chemie, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland.

The Journal of Chemical Physics
|December 10, 2017
PubMed
Summary

We introduce self-adaptive tensor network states (SATNSs) that efficiently describe complex quantum systems. This novel method overcomes convergence issues in quantum chemistry calculations, particularly for challenging molecular states.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Quantum Information Theory

Background:

  • Tensor network states are powerful tools for simulating quantum many-body systems.
  • Previous correlator-based tensor network methods have faced convergence challenges.
  • Accurate description of electronic states, especially challenging ones like doublets, is crucial in quantum chemistry.

Purpose of the Study:

  • Introduce a novel self-adaptive tensor network state (SATNS) ansatz.
  • Improve the efficiency and convergence of tensor network methods for quantum wave function ansatz.
  • Accurately describe difficult electronic states in molecules like manganocene.

Main Methods:

  • Developed SATNS based on multi-site correlators.
  • Incorporated important next-order correlators guided by entanglement-entropy measures.
  • Sequentially introduced and optimized variational parameters.

Main Results:

  • SATNS ansatz significantly reduces the number of variational parameters compared to full-configuration interaction.
  • Successfully applied SATNS to manganocene's sextet and doublet states.
  • Resolved convergence issues encountered with previous correlator-based tensor network states.

Conclusions:

  • SATNS provides an efficient and convergent approach for quantum wave function ansatz.
  • The method demonstrates superior performance for challenging electronic states.
  • SATNS offers a promising direction for accurate quantum simulations in chemistry and physics.