When QI Meets OrchOR, QBD, & Other Theories

【Topic 2: Quantum Intelligence.  Subtopic 2.2: When QI Meets OrchOR, QBD, & Other Theories】

I read with respect several books written by famous physicist Roger Penrose.  His 1989 book, titled “The Emperor’s New Mind”, describes his theory of human consciousness based on quantum gravity dynamics (QGD). In 2011, he jointly with anesthesiology Prof. Stuart Hameroff publishes OrchOR (Orchestrated Objective Reduction) theory.  Many scholars acknowledge Hameroff’s proposal about quantum effect of a dentritic microtubule at the terminal of brain neuron, a protein that can integrate and fire consciousness.  However, in a 2014 paper, MIT physics Prof. Max Tegmark points out “It’s very doubtful that consciousness is based on gravity, since an astronaut in an outer space with no gravity does not lose his or her consciousness.”  Moreover, so far, all available industry quantum computers are based on trapped ions, superconducting electrons, or photons.  QGD takes graviton, a hypothetical elementary particle, as the theoretical base, which has an interaction force 10-23 weaker than an electronic repulsion or attraction force. It seems pretty remote to build a quantum computer based on hypothetical graviton.  At least, we can say this: today’s quantum computer can’t process QGD theory, even if OrchOR is mathematically correct.

A group of physicists promotes a concept of Quantum Brain Dynamics (QBD).  One of them, Italian physics Professor Giuseppe Vitiello writes a 2012 book “My Double Unveiled”, suggesting an approach to realize Hameroff proposal of microtubule, not with QGD, but with QBD. More importantly, QBD takes a general Bosonic quantum approach, such as today’s optical quantum computer, to study quantum phenomena in human brain, since water in brain may induce laser-like dynamics to complete the dentritic network activities.  This suggestion is based on many practical brain experiments by several QBD scholars, such as UC Berkeley Prof. Walter Freeman.

Our quantum intelligence, QI, is based on Kauffman’s emergence theory.  This is an even more general math approach to handle not only consciousness, but intelligence and creativity.  The next subtopic involves emergence theory implemented in classical computers.  This is somewhat different from a Transition Turing Machine, suggested by Kauffman in his 2014 patent, but similarly using a quantum approach.