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How could tiny bacteria be performing the kind of sophisticated quantum manipulations that it takes human beings a room full of equipment to perform? Natural selection is a powerful force.
Quantum minds: Why we think like quarks
Human thinking, as many of us know, often fails to respect the principles of classical logic. We make systematic errors when reasoning with probabilities, for example. Physicist Diederik Aerts of the Free University of Brussels, Belgium, has shown that these errors actually make sense within a wider logic based on quantum mathematics. The same logic also seems to fit naturally with how people link concepts together, often on the basis of loose associations and blurred boundaries. That means search algorithms based on quantum logic could uncover meanings in masses of text more efficiently than classical algorithms.
Your Android phone (or iPhone, if that's how you roll) is an impressive machine, with computing speeds and storage capacities thousands of times those of desktop PCs from only years ago. If Moore's Law holds up, your smart watch may outshine today's phones the way today's phones eclipse old PCs.
But no matter how powerful these machines become, they may never develop true intelligence if we continue to rely on conventional computing technology. According to the authors of a paper published in the journal Physical Review X last July, however, adding a dash of quantum mechanics could do the trick.
The problem lies in part with the step-by-step processes that limit conventional artificial intelligence learning algorithms. The authors of the paper equate it with classical random walk searches. Random walks are sometimes described as being like the stumbling of a drunk person - each step is about the same size, but the direction of the steps are random. Random walkers can cover a lot of territory, and an artificial intelligence system that explores various problems with random walk learning algorithms can eventually learn new behaviors, but it takes a long time.
Quantum walks, on the other hand, describe a walker who doesn't exist at one spot at a time, but instead is distributed over many locations with varying probability of being at any one of them. Instead of taking a random step to the left or right for example, the quantum walker has taken both steps. There is some probability that you will find the walker in one place or the other, but until you make a measurement the walker exists in both.
Compared with a random walk, quantum random walks are much, much faster ways to get around. To the extent that learning is like taking a walk, quantum walks are a much faster way to learn.
That's not to say you'd need to make a full-blown quantum computer to build a truly intelligent machine - only part of an otherwise classical computer would need to be supplemented with a bit of quantum circuitry. That's good because progress toward developing a stand-alone quantum computer has been about as slow as the progress toward artificial intelligence. Combining artificial intelligence systems with quantum circuitry could be the recipe we need to build the HAL 9000s and R. Daneel Olivaws of the future.
The authors also speculated that the excitons were performing a particular quantum computation algorithm called a quantum search, in which the wave-like nature of propagation allows the excitons to zero in on their target. As it turns out, the excitons were performing a different kind of quantum algorithm called a quantum walk, but the “crackpot” fact remained: Quantum computation was helping the bacteria move energy from point A to point B.
Together with Alan Aspuru-Guzik and Patrick Rebentrost at Harvard, my MIT colleague Masoud Mohseni and I constructed a general theory of how quantum walks in photosynthesis can use the wavelike nature of quantum mechanics to attain maximum efficiency. It turns out that wavelike transport is not always the best strategy. To understand why, suppose that the lilypond is full of rocks sticking up out of the water. As the wave moves through the pond, it scatters off the rocks. As a result, the wave never reaches the middle of the pond, which remains calm and protected. This is a phenomenon called destructive interference. Although the wave can propagate a short distance, eventually the random waves scattered off the rocks interfere with the overall wave’s propagation, effectively stopping it in its tracks. The quantum frog becomes completely stuck: A classical hopping strategy would have been more efficient. In the antenna photocomplex, the “rocks” are microscopic irregularities and molecular disorder that scatter the quantum wave as it tries to pass through.
originally posted by: neoholographic
a reply to: tetra50
That's great and I hope more scientific research will be added to this thread because there has been a lot.
originally posted by: neoholographic
cont'd
about wave particle duality. Wave (Quantum Consciousness) Particle(Classical observation).
These things beautifully and elegantly explain everything from consciousness, Psi, near death experiences and why we have this self aware experience.
Seeing quantum behavior between subunits joined on a protein substrate (the photosynthesis stuff) is one thing. Seeing it between different cells is many orders of magnitude different.
I would suggest that it's a huge stretch jumping from a simple photochemical process to human cognition when, as I've noted, there is no evidence from any direction that any such thing is happening or could happen.
There is absolutely no evidence that it is true, no evidence for a mechanism that could support this, and no behavioural evidence that would suggest it is happening, much less actually require it.
I would suggest that it's a huge stretch jumping from a simple photochemical process to human cognition when, as I've noted, there is no evidence from any direction that any such thing is happening or could happen.