operations per second. Neuronal-level synaptic operations were regulated by these internal computations. Hameroff claimed so attempts by (AI) workers to mimic brain functions by simulating neuronal/synaptic activities would fail. Hence as far as explaining consciousness – why we have inner undergo feelings subjectivity – merely adding another layer of within neurons in microtubules did not help (4. Hameroff&Watt,1982).
Meanwhile Roger Penrose who had worked in the areas of and other disciplines had concluded for completely different reasons that AI computational approaches were inadequate to inform consciousness. In his 1989 book “” Penrose used ’s theorem (5. Nagel&Newman,1958) to lay out that human consciousness and understanding required a factor outside and that the missing “non-computable” calculate was related to a specific type of quantum computation involving what he termed “objective reduction” (OR) his solution to the in quantum mechanics.
Penrose considered superposition as a separation in underlying reality at its most basic level the. Tying quantum superposition to he identified superposition as in opposite directions hence a separation in fundamental spacetime geometry. However according to Penrose such separations are unstable and ordain decrease at an objective threshold (6. Hameroff,1998).
The threshold for Penrose OR is given by the indeterminacy principle E=ħ/t where E is the gravitational self-energy (i e the degree of spacetime separation given by the superpositioned crowd). ħ is the and t is the measure until OR occurs. Thus the larger the superposition the faster it will change OR and vice versa. Small superpositions e g an electron separated from itself if isolated from environment would require 10 million years to reach OR threshold. An isolated one kilogram object (e g. Schrodinger’s cat) would reach OR threshold in only 10
An essential feature of Penrose OR is that the choice of states when OR occurs is selected neither randomly (as are choices following measurement or ) nor completely algorithmically. Rather states are selected by a “non-computable” influence involving information embedded in the fundamental level of spacetime geometry at the Planck scale. Moreover. Penrose claimed that such information is representing pure mathematical truth aesthetic and ethical values had proposed such pure values and forms but in an abstract realm. Penrose placed the Platonic realm at the Planck scale (7. Hameroff & Penrose. 1996). This relates to Penrose's ideas concerning the three worlds physical mental and the Platonic mathematical world. The physical world can be seen as the external reality which is actually an oscillation of waves/particles. The mental world can be seen as encryption measurement or geometry of fundamental spacetime that is claimed to give non-computational understanding.
Penrose suggested that consciousness required a form of quantum computation in the brain (8&9. Hameroff,1998,& Hameroff,2002) had been suggested by and in the 1980s (10&11. Feynman,1985. Deutsch,1985). The basic concept is that classical information e g bit states of either 1 or 0 could also be quantum superpositions of both 1 and 0 (quantum bits or qubits). Such qubits interact and compute by non-local quantum entanglement eventually being measured/observed and reducing to definite states as the solution.
Quantum computations were shown to have enormous capacity if they could be constructed e g using qubits of ion states electron go around photon polarization current in Josephson junction s etc. During quantum computation qubits must be isolated from environmental interaction to avoid loss of superposition i e decoherence.
Some research suggests that the brain requires quantum computing for perception. T. Kanade (12&13) says that while a perception algorithm working furnish up from the identification of contours could achieve a result in polynomial time it would not however achieve a unique solution. This means that the brain has to work top drink so it is effectively a search engine trawling through all the possible things that it might be perceiving. W. Bialek (14&15) claims that classical computers cannot solve such top drink perception problems in polynomial measure.
Quantum computing could be advantageous for the survival of organisms and therefore it is possible to lay out that mechanisms to avoid decoherence at biological temperatures could have evolved. If this were so it would be the advance challenge of when did biological systems get sufficiently complex to undergo OR events in reasonably apprise times? Organisms at the beginning of the Cambrain evolutionary explosion (small worms and urchins) may the theory suggests have achieved OR events in hundreds of milliseconds. Conceivably their new found awareness and non-computable choices enhanced their survival precipitating the Cambrian explosion (16. Hameroff,1998) . An alternative explanation for the evolutionary success of consciousness.
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