Optical Solution For an NP-Complete Problem?
6 writes to let us know that two optical researchers have proposed, as a thought experiment, a novel idea for solving the traveling salesman problem. From the abstract: We introduce an optical method based on white light interferometry in order to solve the well-known NP-complete traveling salesman problem. To our knowledge it is the first time that a method for the reduction of non-polynomial time to quadratic time has been proposed. We will show that this achievement is limited by the number of available photons for solving the problem. It will turn out that this number of photons is proportional to NN for a traveling salesman problem with N cities and that for large numbers of cities the method in practice therefore is limited by the signal-to-noise ratio. The proposed method is meant purely as a gedankenexperiment."
One important part of any solution is the amount of time/cycles it takes to encode the problem for use in your algorithm.
For example, I can't claim that my algorithm can factor a number in O(1) if I require that the input for the algorithm is a vector of the prime factors for the desired number. Yes, my part of the algorithm is O(1), but to take a number and convert it to the format for my algorithm is not O(1), meaning the overall performance can't be considered O(1).
In summary, the time/cycles to set up the problem counts.
Reading code is like reading the dictionary - you have to read half of it before you can go back and understand it.
A CO2 laser at 500 kW generating a beam of 10 micrometer wavelength produces about about 2.52 x 10^25 photons per second. It will only take 1.25 x 10^167 years to generate 100^100 photons.
Just a bit more than we can handle.
"Scud Storm!" -- Jeremy of PurePwnage.com