تقرير
Entanglement as a Method to Reduce Uncertainty
| العنوان: | Entanglement as a Method to Reduce Uncertainty |
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| المؤلفون: | Aerts, Diederik, Argëlles, Jonito Aerts, Beltran, Lester, Geriente, Suzette, Sozzo, Sandro |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Quantum Physics Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Neurons and Cognition, Computer Science - Computation and Language, Quantum Physics |
| الوصف: | In physics, entanglement 'reduces' the entropy of an entity, because the (von Neumann) entropy of, e.g., a composite bipartite entity in a pure entangled state is systematically lower than the entropy of the component sub-entities. We show here that this 'genuinely non-classical reduction of entropy as a result of composition' also holds whenever two concepts combine in human cognition and, more generally, it is valid in human culture. We exploit these results and make a 'new hypothesis' on the nature of entanglement, namely, the production of entanglement in the preparation of a composite entity can be seen as a 'dynamical process of collaboration between its sub-entities to reduce uncertainty', because the composite entity is in a pure state while its sub-entities are in a non-pure, or density, state, as a result of the preparation. We identify within the nature of this entanglement a mechanism of contextual updating and illustrate the mechanism in the example we analyze. Our hypothesis naturally explains the 'non-classical nature' of some quantum logical connectives, as due to Bell-type correlations. Comment: 15 pages |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/s10773-023-05404-x |
| URL الوصول: | http://arxiv.org/abs/2302.05898 |
| رقم الأكسشن: | edsarx.2302.05898 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/s10773-023-05404-x |
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