Thanks.  In a kind of pure form quantum computation seems kind of
problematic now, but it seems like it could be hybridized in the not
to distant future.  Example:  suppose you wanted to capture all the
properties for some object in 8 bit registers, one register to
describe each property of the object.  Instead of being limited to a
single property per register, now you can cram 2^8 -- 256 --properties
in a single register.  A simply program could be crammed in another
register, so you could run the whole shebang out of just two
registers.  The only time I tried parallel programming was on a Tandem
computer, and I never developed the hang of it really.  Simpler just
to think serially.  So some means of converting a program to parallel
from serial would be nice.  doubtless people have tried that.  Mike A

On 3/19/13, Matt Mahoney <[email protected]> wrote:
> On Tue, Mar 19, 2013 at 7:53 PM, Mike Archbold <[email protected]> wrote:
>> I thought if we took 2 qubits we could have it in states of either,
>> some,  all, whatever combo:
>> 00, 01, 10, 11
>>
>> eg:  01 and 11 might be a state at one point in time, 10 and 11 at the
>> next... etc, which is more than the simple choice of the above four in
>> ordinary binary.
>>
>> But reading elsewhere I have seen the claim that the information in
>> the qubit is the same amount as the ordinary bit (I was browsing
>> through a paper that Gentian Kasa posted here; he refers to Holevo's
>> theorem).
>
> That's right. What quantum computing does is speed up some algorithms
> by computing a superposition of outputs from a superposition of
> inputs. If you have n qubits, then you effectively do 2^n computations
> in parallel.
>
> But there are some severe limitations. The operations have to be time
> reversible. Logic operations have to have the same number of inputs as
> outputs. Effectively, this means that they only do rotations in a
> complex vector space. The assignment statement is not computable.
> Neither is error correction, which is important because practical
> computation has a high error rate. When you have computed the result,
> you can only read the result probabilistically. The qubit values you
> observe depend on the amplitude of the computed result.
>
> A quantum computer does not speed up NP-complete problems. We do know
> of a couple of useful algorithms. Shor's algorithm will solve the
> discrete logarithm problem, and thus the factoring problem in O(n^3)
> time, thus breaking most forms of public key cryptography. Grover's
> algorithm will invert a function in O(2^(n/2)) time, which effectively
> speeds up brute force key search over symmetric key encryption as if
> the key were half its size.
>
> However, practical implementations have yet to be built. D-Wave has
> quantum computers with 128 and 512 qubit sizes, but they have the
> wrong architecture to execute Shor's or Grover's algorithm. Instead,
> they solve the discrete optimization problem of maximizing Ax + b
> where A is a partially programmable matrix (with a lot of fixed 0
> elements), b is a partially programmable vector, and x = (-1,1)^n is
> the vector to be found. So far, it has only been used to compute small
> Ramsay numbers, but nothing that couldn't be computed with pencil and
> paper. Also, the machines cost millions of dollars (with liquid helium
> cooling) and in a typical application half of the qubits don't work
> due to noise and the extreme difficulty of manufacturing reliable
> components.
>
> --
> -- Matt Mahoney, [email protected]
>
>
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