Abstract Details

**Many Worlds - One Mind: Quantum Neural Networks Hypercomputation As An Explanation of Consciousness Driven Wavefunction Collapse.** Luis Javier Camargo Perez , Munoz-Jimenez Daniela (Center of Frontier Research and Philosophy, Tlalpan, CDMX Mexico) **P1**

The many-minds interpretation is a variant of the many-worlds interpretation of quantum mechanics that addresses the apparent paradox of a conscious observer which could became superpositioned with itself when measuring a superpositioned system disabling it to experience a deterministic state, paradox which is solved by proposing that any conscious agent possesses an infinite number of physical minds in a prevalence proportional to the amplitude of the wavefunction observed, any of which are in a definite state and never in superposition, albeit only one becomes experienced and others remain inaccessible but real. We propose another variant of this interpretation where conversely, there is only one conscious mind that accesses and hyper-computes each of the physical brain states resulting from the observation of superpositioned stimuli into the most optimal definite state which is, in general, the only one that is experienced as real; hence, the other brain states are not unaccessible nor computationally lost, remaining essential for the construction of the sense of deterministic reality. Therefore, the wavefunction collapse exists only at the level of the ultimate observer as the many minds interpretation claimed, nonetheless, the other minds which exist on different multiverses are not disconnected from each other but conform a single entangled mind. Formalizing this in a computational basis, a conscious measuring agent is a structure in the form of a quantum neural network that performs the hypercomputation of all the individual deterministic neural network states acting each as Turing machines that are produced after the observation of a superpositioned state. This hyper-computation of the individual brain states is performed by selecting the optimal configuration in means of achieving the maximal thermal efficiency of the network or the ability to match the most probable future. Therefore, the conscious agent will only perceive this constructed deterministic optimal state among all others. In brief, in the same fashion that the perceptron function computes all inputs into a single output, a "conscious perceptron function" computes all the superpositioned perceptron functions into one, which could also be equivalent to a perceptron function with an n-dimensional tensor input leading to a less dimensional matrix or even a single scalar output. This new interpretation offers an evolutionary basis of consciousness as the hypercomputation of the superpositioned states provides an advantage for an organism to adapt or react to the environment even in front of nondeterministic challenges or superposed sensorial stimuli. It could also provide an explanation of the ability of intelligent beings to solve problems that are theoretically uncomputable or the ability of the human mind to outperform in some tasks even the most powerful classical computers and show a computation power beyond its thermodynamical theoretical limits.