On 10/4/2020 12:52 PM, Lawrence Crowell wrote:
Quantum computers, or processors, will make more inroads into things.
They have a possible big role in understanding quantum black holes and
quantum complexity. Any NP problem can be worked faster, at least in
principle, with a quantum computer.
I don't think there's any proof of that. Given any quantum computer
algorithm, it is possible that there is an equally fast classical
algorithm...at least that's my understanding of the state of theory.
Brent
In working on quantum complexity I see how this problem of a 1-dim
chain filling space in a complex geometry or topology has a possible
bearing on the Hodge conjecture. The use of epsilon balls and a
regularization scheme in quantum complexity may play some role here.
LC
On Sunday, October 4, 2020 at 1:54:45 PM UTC-5 [email protected] wrote:
On Sun, Oct 4, 2020 at 12:03 PM Lawrence Crowell
<[email protected]> wrote:
> It makes sense. The phosphorylation of a protein changes its
shape.
The linear amino acid sequence that makes up the protein changes
the way it folds up even more, from a 1-D line into a complex 3-D
shape. I think predicting what linear sequence of amino acids
would be needed to fold into a given 3-D shape will be the first
and one of the most important tasks a Quantum Computer will work
on once they become large enough to become practical.
John K Clark
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