We believe that it is to early to make prognoses about how a complex quantum computer may operate but any observations which leads to a quantum mechanical explanation is evidence of such a quantum process. Therefore, we look at the results of the so-called quantum cognition from a different view point. In quantum cognition, it has been shown that the mathematical formalism of quantum theory can be adopted to model cognition showing advances over traditional classical probability theory in many aspects of cognition. Researchers in this field argue that they only use the mathematical formalism of quantum mechanics without assuming any underlying quantum physics.
In the light of our results here, where we can now provide a mechanism, the argument needs to be changed because the success of quantum cognition over classical approaches challenges whether the computing power of the brain is sufficient to simulate quantum computation? As we have recently seen in simulation of simple quantum models, quantum computers exceed the computational power of any super-computers. Therefore, it is unlikely that the brain has enough classical computing power to simulate quantum formalism behind cognition. It would also make no sense to waste so much computational power which only results in low reliability through non-commutative effects.
Are qualia non-neuronal and non-classical?
From our consideration so far, we can say that non-neuronal or non-classical
A non-neuronal quantum computing network