Many Worlds - One Mind: Quantum Neural Networks Hypercomputation as an Explanation of Consciousness Driven Wavefunction Collapse.

Camargo-Pérez Luis J - Centro de Investigación Frontera y Filosofía, México | camargo@cifro.org

The many-minds interpretation proposes that conscious observers possess an infinite number of physical minds, each in a definite state but independent of each other to overcome the paradox of self-entanglement, hence, only one mind becomes experienced while others remain inaccessible but real.

In contrast, we proposed a variant stating that there is only one conscious mind that hypercomputes each physical brain state resulting from observing superpositioned stimuli, selecting the optimal configuration for maximal efficiency or matching the most probable future. This optimal state is the one experienced as real, while other brain states remain essential for constructing the sense of deterministic reality.

The conscious measuring agent is modeled as a quantum neural network that hypercomputes the individual deterministic neural network states, treating each as a Turing machine. The goal is to achieve the most thermally efficient network and perceive the constructed deterministic optimal state among all others.

This interpretation provides an evolutionary basis for consciousness, suggesting that hypercomputation of superpositioned states offers advantages for organisms to adapt and react to non-deterministic challenges or superposed sensory stimuli. It may explain the ability of intelligent beings to solve theoretically uncomputable problems and outperform classical computers, displaying computation power beyond thermodynamic limits.

In this game analogy, a quantum neural network that computes the ground state is represented as a weighted graph which is represented as routes, and quantum weights are represented by Schrodinger's cats that impose a delay of 1 minute when alive and 0 minutes when dead.

Then, a conscious player has to choose the best path (A, B, C, D or E) according to the observation of the 12 cats and the routes, however.

If these cats exist in superposition, and from the one many-worlds interpretation, one player should exist for each possible combination of the 12 cats being dead or alive where the player takes an optimal choice according to its perceived world.

Conversely, in our model, the neural networks of the player input the superpositioned states of the cats and output a single classical state to the conscious agent depicting the scenario where the delays are the lowest making the choice of the player obvious giving them an evolutionary advantage.

Many Minds

Many Minds Concept

Many conscious brains exist,
they don’t interact between
them, each one is conscious of
itself and its own world.

Although there are many physical brains, they calculate together just one reality which is the one made conscious

Schrödinger's Cat Fastest Route

Schrödinger's Cat Route Analysis
|A⟩ = 1 ⊗ 2 ⊗ 5 ⊗ 6 ⇒ min 0, ave 2, max 4
|B⟩ = 3 ⊗ 4 ⊗ 6 ⇒ min 0, ave 1.5, max 3
|C⟩ = 7 ⊗ 6 ⇒ min 0, ave 1, max 2
|D⟩ = 9 ⊗ 12 ⊗ 10 ⊗ 8 ⇒ min 0, ave 2, max 4
|E⟩ = 11 ⊗ 12 ⊗ 10 ⊗ 8 ⇒ min 0, ave 2, max 4

This setting shows that the product state of route "C" has the highest probability of being the fastest among all universes of cat's states. We implemented this scenario in an IBM Qiskit quantum circuit which sums the states of the cats (q0-l1) into the routes (q12-l7) by the accumulation of noise directly proportional to the sum of superimposed states of cats where the least number of cats in |0> leads to less error rate.

Quantum Circuit Implementation