obbeel

Ok, but in computers, matrices are calculated like this: for each number in vector i, there is a vector j. for each number in vector j, there is a vector k, and then you can print each element as a 3D matrix. How is doing this any different? Could you talk more about the property that prevents this? Thank you.

I have a question related to this topic. If we create a three dimensional matrix, and give each element of the matrix a name that would represent another three dimensional matrix, similar to how computers do it, wouldn't it be possible to visualize n-dimensional matrices? Inside each element of this matrix there would be other 3D elements. This makes visualizing, in this case, six dimensional matrices possible, no?

Hello Bcook. I'm not a Physics expert as others in this forum, but I have, by now, read over 10 books from scientists past (Robert Hooke, Isaac Newton, Michael Faraday, Avicenna) and I can ratify that, even if the old books are good to bring new ideas, they don't have any secret science hidden behind them. You won't find the new thing by scrutinizing old knowledge or books. You won't find a magical answer by searching something about Nikola Tesla, for example. These are my 2 cents for you, as I have struggled in the past discerning good knowledge from bad knowledge. There are no easy answers in the past or a plot to keep knowledge from you.

Hello. There have been developments in materials science that made possible maintaining entanglements up to 130K. That's -143º C. It's still really cold, but previously it was close to 0K. Some korean scientists also alleged last year (2023) that they achieved materials that maintained their quantum properties at room temperature. So, there have been developments. If the materials allow it, it's feasible. Else we will be looking at new technologies. For example, something really small that would maintain the low temperatures inside the computer core. There has been incredible advancements into laser technology this year also. So that helps to create new computing technology. In the end, it all depends on what kind of advancements we can make in the next years, with a focus on materials science. AI will surely help, if it keeps evolving at the pace it is evolving. Quantum computers are much faster than regular computers because they can sustain 2^n states. You will be looking at something really large at just 16 qubits. The algorithms need to be developed, but that is not the main roadblock now.