Not really. Over the last few decades we have seen computers go from gigantic vacuum-tube based machines to relatively complex nanotechnology. But brains are profoundly complex nanotechnology. The brain isn’t a supercomputer, each neuron is a supercomputer, the brain is millions of supercomputers networked together. The most powerful and sophisticated human supercomputer on Earth isn’t even remotely close to beginning to be as sophisticated as a brain.
Give this article a read.
Yes, this is a real thing. For example:
Note that this only works with a relatively thin freeze, such that just part of the snout is encased in ice. Which isn’t the same thing as cryogenic stasis. Alligators enter a state known as “brumation”, which is similar to hibernation. But it only works if the rest of their bodies stay relatively warm, in liquid water under the ice sheet. They can apparently tolerate water temperatures in the 30s, at least for brief periods, but they can and occasionally do die from the cold. If their core body temperature actually dropped below the freezing point, they’d die.
Yes.
Cites:
From the 2nd link:
The rate is what matters, though. If it turns out that the computational power required to simulate the brain is a million times more than what I estimated, that’s just 20 more doublings, or ~30-50 years of progress at current rates. If it’s a billion times more that just adds another decade or two.
We know that the computational power to run a human brain can fit inside a liter or two, run off of a few dozen watts, and be built of inexpensive materials. The questions are whether we’ll ever be able to build something comparable and whether we can scan and replicate the features with enough precision to replicate the mind. Obviously we can’t yet, but I don’t see any reason to think that there are fundamental barriers.
I am flabbergasted 
And is massively parallel in its 3D connections. If we do come up with something, it isn’t going to be remotely similar to today’s profoundly simple 2D circuits.
I don’t share your enthusiasm in the future of Moore’s Law.
A single neuron is certainly more complicated than a single transistor, but it’s much, much less complicated than a supercomputer.
As long as they don’t turn out to have quantum.