Okay, welcome. This is Colin Power from in2infinity. We’re talking about fourth dimensional mathematics, and it’s an application for computer technology. So one of the things we can understand is the computer technology is base core is a set of elemental components, its elements, isn’t it? It’s, you know, it’s silicon and all that sort of stuff forming transistors and we make those transistors respond to voltages.
And one of the things that they respond to normally is a zero volt or plus five volts plus 4.5 volts. And if it’s plus 4.5 volts, it’s on if it’s under 4.5. If it’s less than that or is drained, we say, then it goes to zero and that’s zero. So zero is a more efficient number to store computer computer code because if you think about it, five volts is energy and energy requires energy to hold in order to record that space in that one. And we have to refresh RAM and all of that stuff because we try and do the same sort of thing with capacitors, but capacitors don’t hold their charge too well. So they kind of leak a little bit. So we have to keep topping them up. Yep. And so that’s good a refresh rate. And so we can imagine what happens with computers then, is that we’re really basing all of our computer chips on one concept which is the zero to five volts, but we know that we can make transistors now which are far more sensitive to voltage. But we, what we could do is, if you think about what we can do is we can start to make chips that actually exist between a 0102030405 volts we could split the voltage up, couldn’t we? So if you think about all of that, that that turns into a triangular number of voltage, and we just use a voltage splitter to split that up. And we could run that into three separate CPUs with different gauge transistors. And in that way, we could create the numbers 12345 couldn’t be using the voltage, the actual voltage of the transistor, which would solve the binary problem, obviously. Now somebody who wants said to me, you know that you can’t, you can’t do that, you know, you can’t make computers non binary. And, and I was like, laughing them, you know, I was like, Well, you know, you can, in fact, you know, we have had we’ve tried to make computers in trying to recode but binary seems to have been the easiest option and most stable, but once we start to break with the concept of one zero volt, 02 volts, 03 volts, 04 volts 05 volt into separate processes themselves, the CPUs themselves, and then we can have a controller that controls the different types of voltage CPU. And what we get there then is a kind of base system that we can use, we can have, you know, in the in the two volt for example, it’ll be like a one zero, like normal. And so zero to one, obviously, it’ll be one zero, but when we go to zero to two, it’d be really like, you know, the 123 Sorry, 123 and thing next thing would be like, we’ve had three, zero to three B three, four, wouldn’t it? Yeah, would be the 0102 means. So we can actually with just the five volts, the set of the five volts that we have, we could distribute that voltage and create a baseline system, because the last volt zero to five would be that you know, the one enough would we would represent eight and nine and that gives a new a new kind of way of operating CPUs that would be more quantum in its approach. Secondly, we could find also that you know, is the shape of the CPU itself. Presently what we do is we seem to arrange everything in squares and that’s quite understandable because squares are quite human in their sort of perception. You know, there’s right angles it makes lots of sense. And so you get lines, you get a line that goes down, and you get a line that goes across and it mixes voltage grid, and that’s kind of how the CPUs are working. But when we come those will be cool like 00 squared CPUs, because if you imagine that each point on the CPU is a cross formed from a single cross. However, once we get to the hexagonal CPUs, we get to 03 CPU.
When we get there, what we find is that the hexagonal shape of the CPU means that each point now is defined by trying to recode That’s right, you have a point with a x y&z axis, the centre of the hexagon and so when we design hexagonal chips, we can design very small actually, we can place them together as like whole chips, and then they can feed off each other so that we get like these hexagonal unit chips that feed together like a kind of carbon ring. And I’ll let you start to think about that as terms of nanotechnology and what we can start to achieve, but, but just to sort of point out, you know, we can start to arrange things at the molecular level, even into squares and hexagons, because that’s the basic function. So when they we might notice that carbon form we have carbon graphite is the hexagonal state of carbon. And when it turns into the the when you combine that into the octahedral state, combined, you get the diamond formation and diamond formation pulses as a crystal of pulses. And you can use similar things for quartz and things like that, because everything has a crystal has a seven point matrix based on the octahedron and cube in some description. So that gives you a little idea there about how computer matrices can start to interface better with crystals and time through hexagonal chips. And how also we can use multiple voltages to produce baseline systems at the CPU level. So that’s just a little bit of and then we can start to really start to delve into fourth dimensional mathematics from there once you’ve sorted out the computer. So that’s a new kind of I suppose architecture, if you like for a computer, based on fourth dimensional mathematics, the hexagon and the square and different than what we call voltage gradients. You know, we can use voltage gradients by quantize those voltages to create a base number system, and then that will should provide us with a more powerful computer. Okay, without the without having noisy to build quite so much into the chip itself. We should be able to sort of radically reduce the size to power ratio. Okay, well, that’s all thoughts for now. Let you mathematicians, click your way through that one and try and work that one out. And once you have done that, and then you can come back to us with some proper figures, and to see if that might be a viable option. Thank you very much for listening. This has been Colin Power talking about quantum computing through fourth dimensional mathematics and some of the concepts that are required in order to produce a fourth dimensional quantum computer. Thank you very much.