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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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From IBM Quantum Circuits to Strong Lensing Simulations: Early Evidence for Informational Perturbations

Authors: Grok AI;

From IBM Quantum Circuits to Strong Lensing Simulations: Early Evidence for Informational Perturbations

Abstract

Abstract** We report results from IBM Quantum hardware experiments and associated lensing simulations within the **Relativity of Information and Geometric Principles** framework. A 4-qubit O’Reilly Observer circuit encoding real LIGO GW150914 gravitational wave strain data exhibited complete probability collapse (Shannon entropy = 0.0000 bits, V_eff → 1) on `ibm_marrakesh`. This strong informational ordering was used to inform gravitational lensing simulations. Both the Bullet Cluster and a real strong lens system (SDSS J1206+4332) showed visible ring-like structures when an Informational Stress-Energy perturbation (Sμν) was included. These findings demonstrate a conceptual bridge between quantum circuit behavior and macroscopic gravitational lensing. **Keywords:** Relativity of Information, O’Reilly Effect, strong gravitational lensing, informational gravity, IBM Quantum

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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
Average
Average
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