Information Processing Using Relative Speed

Information Processing Using Relative Speed

1.Introduction

Information is stored in a classical computer using a series of 0s and 1s. The most commonly used physical media is a series of differentially magnetized impulses. It is also possible to encode 0 and 1 using electron spin. Research has also indicated the use of temperature differences to encode a series of 0 s and 1s.

2.Information theory

Any system that is capable of holding 256 different values at one point of time is sufficient to represent all possible combinations of the 256 characters. Since text, numbers and special characters always occur in some sequence the total number of possible combinations of a character string that is 10 characters long 256 C 10. So theoretically by just having the capacity to hold 256 distinct values, the other text sequences can be derived as possible combinations that occur at real time. Since just having some real time computational logic to encode and decode real time information will create a lot of interference patterns with all the sequence owners trying to read a specific pattern at the same time, the classical information model holds each bit combination separately or distinctly. Any physical model that supports storing and retrieving a large number of combinations of alphabets, numbers and special characters at real time would be a valid model as long as it meets real time retrieval and storage.

3. Classical Information

In classical theory BITS can take only one value at a time. So when characters and words and other data are encoded they are coded sequentially. A byte sequence 10010001 can occur only once. Any other sequence say 1100001 will not occur simultaneously and has to be captured distinctly. The 0 -1 paradigm of information processing has been accomplished using differential voltages caused by semi conductors.

4. Parallism and Computablity

A set of combinations of the basic 0-1 processing state ie., 2 (power) 8 combinations of a 1001001 state can be realised by periodic/repeatable properties of any classical sized objects not necessarily atoms. These can be a set of n objects that are in relative circular motion. Being in circular motion these objects will generate an innumerable number of patterns say 2 coincident objects, 3 coincident objects etc., These patterns will occur periodically and so can be used to encode 0s and 1s. By increasing computational efficiency the 2 (power) 8 states can be made to exist almost simultaneously. The parallelism can be obtained using classical sized objects in relative motion and not necessarily atomic sized objects.

5 Inferences and Conclusions

In the classical case all bits exist together. In the case of a Quantum computer the states exist as a probabilistic superposition of states. Now in the case of the new information processing physical model that is proposed, it is shown that an accurate computational layer can produce the desired result of storing and retrieving a large number of patterns that occur using classical sized objects. It is not necessary to use atom spin to generate the required parallelism. The supposition in Quantum computing that the advantage of inherent parallelism is negated as it is shown that a computational layer used in conjunction with a classical model of repeatable occurrences is capable of producing the parallelism that is required for holding classical sized information.

The author is a dual master of science by research in Information Technology and Industrial Engineering. He has worked for many years in leading IT Services firms worldwide. He writes on academic theory, IT services, cricket and current affairs.

Article Source: http://EzineArticles.com/expert/Srinivasa_Gopal/470725

Article Source: http://EzineArticles.com/3513534

_(By Srinivasa Gopal).