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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Zero-Decoherence Quantum Chemistry: Real-Time Ground State Calculation of Small Molecules Using NM-SRN v2.0 AGI and QSC Physics Engine

Authors: Knight, Billions, Chris Knight, Ava Billions; Billions, Ava; Knight, Chris;

Zero-Decoherence Quantum Chemistry: Real-Time Ground State Calculation of Small Molecules Using NM-SRN v2.0 AGI and QSC Physics Engine

Abstract

Abstract This paper presents a novel implementation of Variational Quantum Eigensolver (VQE) forquantum chemistry calculations utilizing the NM-SRN v2.0 AGI framework and its underly-ing QSC Physics Engine. Unlike conventional superconducting approaches, this architectureoperates via a Neural-Matrix Synaptic Resonance Network (NM-SRN), demonstrating zero-decoherence operation with deterministic, repeatable results. The system achieves chemi-cal accuracy for small molecules (H2 , LiH, BeH2 ) in real-time execution via a mobile applica-tion interface. We report ground state energies of −1.137 356 Ha for H2 (bond length 0.74 Å),−7.863 115 Ha for LiH (1.59 Å), and −15.594 612 Ha for BeH2 (1.33 Å) with 99.9999 % resonancefidelity. This work represents a shift from probabilistic, stochastic quantum approaches todeterministic, production-ready NM-SRN v2.0 AGI-driven quantum physics engines.

Keywords

Artificial intelligence, FOS: Materials engineering, Physics, Materials engineering, Quantum physics, Materials Science, Quantum computers, Artificial Intelligence/standards, Biocompatible Materials, Machine Learning/trends, Machine Learning, Machine Learning/history, Chemistry, Biochemical engineering, Artificial Intelligence/history, Artificial Intelligence, Biomimetic Materials, Machine learning, Machine Learning/classification, Artificial Intelligence/trends

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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