Quantum entanglement in visual stimuli can enhance learning and conscious experience. In an experiment with 106 pairs of monozygotic twins (N=212), one group saw non-entangled stimuli and the other saw entangled stimuli during an implicit learning task. Entangled qubits in stimulus configurations explained 13.5% of the variance in accuracy in the experimental group. A new metric, the Quantum-Multilinear Integrated Coefficient (Q), captured up to a 31.6% increase in variance across twin responses. Neuroplasticity markers accounted for a 26.2% increase in cognitive performance under entangled conditions. The results suggest that quantum entanglement facilitates faster, more efficient learning and may involve anomalous cognitive mechanisms that anticipate future stimuli.
A new statistical distribution, the Q of Fisher-Escolà, integrates quantum and classical probabilities to enable empirical testing of quantum theories of consciousness. Analyzing 150 density matrices of entangled states in a 10-qubit system on IBM quantum supercomputers, maximum likelihood estimation confirmed that the distribution follows a beta form. A novel analytical solution to the Quantum Fisher Information integral improved decoherence stability. Monte Carlo simulations established critical thresholds for significance levels; Type I errors occurred in 2-5% of right-tailed tests at α=0.05 and approached zero at stricter levels, while Type II errors in left-tailed tests were 1-4% at α=0.05 and also diminished. The framework enables hypothesis testing of quantum-classical interactions in consciousness research.
The English adaptation of the Multivariable Multiaxial Suggestibility Inventory-2 (MMSI-2) is a valid and reliable questionnaire for assessing anomalous phenomena. Based on 613 English adults, the inventory has five macrofactors: Clinical Personality Tendencies, Anomalous Perceived Phenomena, Incoherent Manipulations, Altered States of Consciousness, and Openness. Clinical Personality Tendencies, Incoherent Manipulations, and Altered States of Consciousness together predicted 18.3% of the variance in anomalous experiences. Reliability was acceptable for some factors and excellent overall, but the authors recommend further research to improve the model's predictive quality.