Tag Archive: learning



Can super efficient quantum computers be of assistance at overcoming the seemingly insurmountable obstacles facing us in even a partial decipherment of Minoan Linear A?

Quantum computers, as exemplified by the fantastically powerful D-Wave computer system invented by Canadians and now fully operational in 2017 (Click on their banner to jump to their site):


d-wave-logo

most probably will prove to represent or in fact be a revolutionary development in the power and artificial intelligence of computers even now, as early as twenty-first century (say bu 2025 or so). The D-Wave computer is purported to be 10 million times faster than the most powerful supercomputer on earth! It was recently put to the test to solve an exceedingly complex protein synthesis model, and it did so 3,600 times faster than the the most powerful supercomputer on earth! That is a simply astonishing feat. In fact, quantum computers are purported to be able to solve seemingly impossible problems totally beyond the ken of the fastest supercomputer in the world.

If this proves to be so, is it not conceivable that applying the smarts of a quantum computer such as the D-Wave might lead to real advances in the potential decipherment of Minoan Linear A?

Take for instance my recent analysis and synopsis on the practically unimaginable formidable obstacles facing us in even beginning to get a handle on the syntax and semiotics of Minoan Linear A:

postobstacles

Is it not conceivable that a quantum computer such as the D-Wave might be able to at least make a dent in the potential decipherment, however partial, of Minoan Linear A? Or is it not? The question is not hypothetical. Proponents of the awesome power of quantum computers purport to be able to resolve supremely complex problems completely beyond the reach of even the most powerful of conventional digital supercomputers, as illustrated in this composite:

quantum-computers-intelligence-applications-decipherment

However, there may very well remain possibly insurmountable obstacles even for quantum computers in tackling a seemingly unsolvable problem as fractious as the decipherment of Minoan Linear A, however tentative. Some of the truly form obstacles that can and almost certainly shall practicably stand in the way of quantum computers being able to tackle this redoubtable challenge are:

In spite of the astonishing claims that proponents of quantum computing make for its potential in solving intractable problems which even the most powerful supercomputers cannot even hope to address, what is the substance of these claims? This scenario needs to be logically parsed.
1. Just because quantum computers have unquestionably proven to be able to realize exponentially more efficient leaps in some (and I lay the emphasis on just some) activities, this does not necessarily mean that these quantum leaps imply a parallel or even corresponding quantum leap in AI (artificial intelligence) learning.
2. Even if such a corresponding quantum leap in AI (artificial intelligence) learning were to prove practicable, and in effect take place (possibly by 2025), what is meant by AI (artificial intelligence) or to take the proposition even further, what is implied by the admittedly vague term superintelligence?
3. Do advanced AI or superintelligence necessarily have to conform to or mimic human intelligence, or might they possibly constitute a  discrete, self-contained phenomenon in and of themselves?
4. And if so (i.e. if 3), then would such a superintelligence (or 1 among many) be able to resolve problems, such as specifically, the potential decipherment, even if merely partial, of Minoan Linear A, (anywhere near) as well as human intelligence can? Or put another way, can quantum computing AI or superintelligent learning strategies mimic and even complement human learning strategies?
5. Or if they cannot (i.e. accomplish 4.), can they perhaps accomplish something along the same lines as human learning strategies just because they may in fact not actually resemble human intelligence?

These are just a few of the factors we must absolutely take into consideration if we are to make any assumptions whatsoever over the potential for quantum computers, no matter how clever they may turn out to be and in what sense clever, to accomplish a task as mind-boggling as even the partial decipherment of Minoan Linear A. I shall have plenty more to say about the potentialities of quantum computing in the realm of diachronic linguist decipherment in future, but the introduction suffices for now.


LBK&M has just joined several major literary LinkedIn Groups!

LBK&M has just joined several major literary LinkedIn Groups! These are:

My LinkedIn Groups

And this is my welcoming message:

Hello from Richard Vallance Linear B, Knossos & Mycenae

We expect to see many more visitors to Linear B, Knossos & Mycenae now that we have hooked up with so many great LinkedIn literary groups.

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