Metabolic Energy, Cost of Information and Time Scales in Human Brain Dynamics:
Can There Be Quantum Computation? Jack A. Tuszynski (Physics; Oncology, University of Alberta - Politecnico di Torino, Edmonton AB, Edmonton/Alberta Canada) C8
In this talk we use simple reasoning based on time, length and energy scales to analyze the possible information processing rates of the human brain based on the metabolic energy cost of encoding a bit of information. We use well-known empirical information about the brain and its constituent neurons and sub-neuronal structures to arrive at characteristic information processing rates at all relevant scales. In order to maintain consistent metabolic rates and clocking frequencies for updating information content, we conclude that only coherently quantum-entangled tubulin dimers in the neuron are likely to operate at a quantum level if their functions include information storage and processing. On the other hand, ion channels, even if unsynchronized may be able to operate in a quantum mechanical regime. In this talk we also invoke the concept of quantum metabolism as a consistent framework for living systems as opposed to the highly touted quantum biology, which so far has been lacking coherence and synchronization, properties of life in general.