THE QUANTUM COMPUTER AND

PHYSICAL MOBILITY: PART II
(October, 1998)

By Noel Huntley

Part I, at the least, is a prerequisite to reading this article. We explained in Part I that physical mobility is accomplished by means of two dissimilar systems perfectly synchronised, that is, the muscular and quantum system. We briefly outlined the formation of the structure of the learning pattern, which is a configuration of bits of information stored and organised holographically.

We mentioned that information spirals into the joints of the body depositing a digital pattern of oscillations. How could this change the angle of the joints and produce motion? If we look below the chemical and physiological level we shall see nothing but vibrations. These vibrations are actually partial nodes of oscillations manifesting in 3D---like cross-sections of 4D oscillations. Now, the molecules/atoms of the body joint areas are fundamentally also nodes. If the oscillations from the learning pattern are in step with fixed nodes of the joint but displaced a fraction, there will be a strong attraction of one node for the other. Thus a complex digital pattern of nodes precipitating into 3D at the joint can cause motion and change the angle. However, simultaneously this same learning pattern has activated the central nervous system to cause the appropriate muscles to contract synchronously.

If one still asks why? One has only to contemplate the mechanics of a muscular system as sole cause of the incredible skills which are achieved by man, animals and flying creatures to realise it is nonsense that this system alone would be sufficient---it is not even remotely reasonable or logical.

Now for a particular level of reflex ability, the learning pattern has a density of information in space and also in time (like the baud rate of modems). The learning pattern has a gradient within it from 4D to 3D. When the attention is in phase with the 4D aspect, it is grasping as one whole, within the span of the learning pattern, all the individual elements down into the 3D aspect of the learning pattern. But as the energy transduces or quantum reduces down this gradient the elements in 3D may be played off one at a time. For example, if one were playing a five-finger exercise (for example, notes CDEFG) on a keyboard, at a sufficient level of skill the mind will apprehend the kinesthetic sense of all five positions of fingers simultaneously---this occurs in the margin of consciousness. However, as soon as one begins, the action concept or ideation of the first finger playing, selects (up the gradient) the probability (for its own individual movement) from the collective level, which quantum reduces (Fourier analysis) the whole, in 4D, to provide movement of the selected part in 3D.

Now while playing the first note there is a connection to the next movement, and in fact for this example of skill, there is a connection to all five movements (the whole). The breakdown of the group wave provides these five individual movements. Note that stimulus-response theories give us a model for only an association to occur between consecutive actions (stimulus and response) or movements. And of course a stimulus response theory is linear. It is recognised now in science and logic that linearity is quite inadequate to explain sequences of movements in skills; scientists are looking for nonlinear theories. But these must be internal nonlinear theories as we are attempting to describe here.

Figure 1 represents a schematic for a multidimensional matrix showing holographic connections which would provide the basic information capacity for these movements of the five-finger exercise (or anything else). It is the basic matrix of a learning pattern and is a fairly ideal model giving a fine gradient. One unit at A, 2 at level B, 3 at level C, etc. It would still work even if it was binary, since the number of units is very great.

An important point is that one knows or feels (kinesthetically) the next movement, not by linear stimulus-response but by triggering the upper (inner) levels of the learning pattern towards greater unity, where the unification of the first and second movements is stored by means of a single oscillation, ranging up to all five movements as a single oscillation at A. One can imagine in this highly simplified example that E1 to E5 each provide the energy (at the joints) for each of the fingers for playing the five notes. But realise whole pyramids of information, such as this, extend downwards for each finger---that is, there is still a pyramid structure for even a fraction of one finger movement.

Now, after understanding what Figure 1 represents one should then translate it into Figure 2 which is a more accurate rendering of the true physical layout or hardware. (A more complete understanding of the physics of this multidimensional unit is given in the article on the basic energy unit.) We can say briefly that each sphere in Figure 2 spirals inwards branching off into smaller spheres and increasing in number. The stable fractal levels are formed because each sphere is 4D at the surface and therefore (in terms of 4D geometry) has two spirals towards its centre which become in opposition and meet internally, creating a stationary quantum state (oscillation). Thus as a sphere spirals in it meets its own opposite spiral (not shown in the illustration), which can occur at any level in the gradient 4D to 3D.

Now as the first finger movement, E1, is focussed upon, it passes its information up the hierarchy to the unity (D1) of both finger 1 (E1) and finger 2 (E2). The state D1 is not only the resultant of E1 and E2 but is in higher-dimensional format (for example, say, 3.1 dimensions). E1 will resonate with its own counterpart in D1 causing a breakdown, quantum reduction or Fourier analysis of D1, releasing wave E2. D1 simultaneously resonates with C1 releasing D2 to give a superimposed feeling of the next position for E3---but more 'distant' or faint. And further, C1 resonates with B1 to release C2, giving the superimposed sensation of E4 through D3, etc.

All this is simultaneous except that timing intervals may or may not be programmed into the information, governed by the intention (for example, for consecutively played notes, or playing notes simultaneously).

Figure 1 and 2 are very simple structures. As implied, in reality a much more complex one would be required for any movement. We have only shown five levels A to E; the number would be very large in practice.

Consciousness can grasp all these levels or quantum states simultaneously---we do this all the time but are unaware of it. We are so focussed on the ego, fragmented, Newtonian level (at E) that we do not intellectually realise that we, as the input to the learning pattern, are interfacing with and duplicating multidimensional strata of information. We experience the exchange of information at all these levels simultaneously, enabling us to 'know' the immediate future movements.

Skill and technique ability are proportional to the density of information, which is synonymous with the 'size' of the holographic learning pattern and the degree of span in space and time (the experience of this manifests through the kinesthetic sense). We shall eventually come to understand that the learning pattern contains much of the physics of not only the universe but the physics of the evolution of consciousness. Note that our descriptions are being presented from the whole viewpoint and then the part, and then further details, etc., rather than the usual procedure of parts to whole.

Now, the structure in Figure 2, if projected geometrically, will give us an idea of the wave function. Each circle (sphere) is equivalent to a sine wave and can be obtained by projection to produce a summation or superimposition of sine waves which acts as a single wave with a complex resultant (modulated sine wave). The precise positioning of any sphere is thus given by the phase angle of these sine waves (this is one of the keys to how nature's computer system works). As we have stated previously, nature's system works on geometry, which is an absolute system. The universe operates on geometric intelligence.

The wave function is said to be mathematical fiction in current quantum physics but it is real in our holographic quantum model. It means that a complex family of waves (represented by sine waves) is an information package and is basic to all phenomena---see later article on the quantum-computer wave function.

Recalling what we explained in Part I, we can see that this large sphere in Figure 2 could represent the universe energy spiral and quantum state, or it could be the blueprint energy of a tree trunk. This sphere spirals in and branches off to form what would probably be a number of large superclusters of galaxies (these are whole oscillations), or branches off the tree trunk, and so on to atoms or twigs.

Note that if sphere A, that is, a single overall sphere is not present (learned) then the learning pattern is not complete---the sequence of movement it handles has not been learned. The attention would have to oscillate between B1 and B2 giving a sensation of effort. This might be for actions of the left arm (B1) and right arm (B2), which one is endeavouring to coordinate.

We shall continue with this theme in later articles.

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