Recent work has exposed the idea that interesting quantum-like (QL) probability laws, including interference effects, can be manifest in classical systems. Here, we propose a model for QL states and QL bits. We suggest a way that huge, complex systems can host robust states that can process information in a QL fashion. Axioms that such states should satisfy are proposed. Specifically, it is shown that building blocks suited for QL states are networks, possibly very complex, that we defined based on k -regular random graphs. These networks can dynamically encode a lot of information that is distilled into the emergent states we can use for QL processing. Although the emergent states are classical, they have properties analogous to quantum states. Concrete examples of how QL functions are possible are given. The possibility of a 'QL advantage' for computing-type operations and the potential relevance for new kinds of function in the brain are discussed and left as open questions.
机构:
San Francisco State Univ, Sch Humanities & Liberal Studies, San Francisco, CA 94132 USASan Francisco State Univ, Sch Humanities & Liberal Studies, San Francisco, CA 94132 USA
de Barrosl, J. Acacio
De Assist, Leonardo Guimardes
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Stanford Univ, Ctr Study Language & Informat, Suppes Brain Lab, Stanford, CA 94305 USASan Francisco State Univ, Sch Humanities & Liberal Studies, San Francisco, CA 94132 USA
De Assist, Leonardo Guimardes
Bob, Petr
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Charles Univ Prague, Ctr Neuropsychiat Res Traumat Stress, Dept Psychiat, Prague, Czech Republic
Charles Univ Prague, UHSL, Prague, Czech RepublicSan Francisco State Univ, Sch Humanities & Liberal Studies, San Francisco, CA 94132 USA
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INESC ID, Inst Super Tecn, Av Prof Cavaco Silva, P-2744016 Porto Salvo, PortugalINESC ID, Inst Super Tecn, Av Prof Cavaco Silva, P-2744016 Porto Salvo, Portugal
Moreira, Catarina
Wichert, Andreas
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INESC ID, Inst Super Tecn, Av Prof Cavaco Silva, P-2744016 Porto Salvo, PortugalINESC ID, Inst Super Tecn, Av Prof Cavaco Silva, P-2744016 Porto Salvo, Portugal