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Updated: Apr 25, 2026
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
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Neural Quantum States Based on Selected Configurations
Marco Julian Solanki1, Lexin Ding1, Markus Reiher1
1Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, CH-8093 Zürich, Switzerland.
The Journal of Physical Chemistry Letters
|April 23, 2026
Summary
Neural quantum states (NQS) offer flexible wave function parametrization. A new NQS-selected configuration (NQS-SC) method outperforms NQS-variational Monte Carlo (NQS-VMC) for electronic structure calculations, especially for static correlation.
Area of Science:
- Quantum chemistry
- Computational physics
- Materials science
Background:
- Neural quantum states (NQS) are powerful for strongly correlated systems.
- Variational Monte Carlo (VMC) is the standard but has limitations for electronic Hamiltonians.
Purpose of the Study:
- Compare NQS-VMC and NQS-selected configuration (NQS-SC) for electronic ground states.
- Assess efficiency and accuracy in capturing static and dynamical correlation.
Main Methods:
- Systematic comparison of NQS-VMC and NQS-SC.
- Ground-state optimization for molecular systems.
- Analysis of energy accuracy and wave function coefficients.
Main Results:
- NQS-SC shows superior energy accuracy and wave function coefficients compared to NQS-VMC.
- NQS-SC excels for molecules with static correlation.
- NQS-SC demonstrates systematic improvability, unlike NQS-VMC.
Conclusions:
- NQS-SC is recommended as the new default over NQS-VMC for electronic structure calculations.
- Neither method efficiently captures dynamical correlation, indicating a need for hybrid approaches.
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