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Evidence of quantum-entangled higher states of consciousness

Comput Struct Biotechnol J

Abstract


What if quantum entanglement could accelerate learning by unlocking higher states of conscious experience? This study provides empirical and statistical evidence of how quantum entanglement influences consciousness at a biophysical level. We analyzed data from 106 monozygotic twin pairs (N = 212), randomly assigned to control and experimental groups. Using a consanguinity-based matching technique, twin pairs (A-B) were formed. Two distinct 2-qubit circuits were designed: C1 (non-entangled) for the control group and E1 (entangled) for the experimental group. These circuits manipulated visual stimulus contingencies during a 144-trial implicit learning experiment conducted under nonlocal conditions, executed via the IBM Brisbane supercomputer. Mental states were assessed with 3D electroencephalography (EEG), while biomarkers—including Brain-Derived Neurotrophic Factor (BDNF) for neuroplasticity, Free Fatty Acids (FFA), and Alpha-Amylase for physiological arousal—were measured. To advance this field, we introduced the Quantum-Multilinear Integrated Coefficient (Q), a ground- breaking metric capable of estimating variance increases attributable to quantum entanglement effects within response matrices. Our findings revealed that the entanglement of qubits in stimulus configurations explained 13.5 % of the variance in accuracy within the experimental group. The Q coefficient captured up to a 31.6 % increase in variance across twin responses, while neuroplasticity markers explained a 26.2 % increase in cognitive performance under entangled conditions. These results provide robust evidence that quantum entan- glement enhances conscious experience and facilitates faster, more efficient learning. They point to the existence of anomalous cognitive mechanisms capable of anticipating future, unpredictable stimuli, representing a pro- found leap in our understanding of consciousness and its quantum underpinnings.

Comput Struct Biotechnol J Vol. 30 Pages 21-40 2025


Authors

Escolà-Gascón Á

  https://doi.org/10.1016/j.csbj.2025.03.001

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