Random Number Thesis

Random Number Thesis-74
10 July 2017 Abstract In this letter, we present an implementation of a random number generator based on photon polarization superposition.

10 July 2017 Abstract In this letter, we present an implementation of a random number generator based on photon polarization superposition.We prepare photons in a superposition state of vertical and horizontal polarizations, let them pass through a polarizing beamsplitter and set two detectors at each path to get a 50–50 chance of finding the photon at each detector.

Methods that are able to let their internal workings be known without sacrificing random results are what this paper sets out to describe.

Beginning with a study of what it really means for something to be random, this paper dives into the topic of random number generators and summarizes the key areas.

Without understanding where a group of numbers came from, it is impossible to know if they were randomly generated.

However, common sense claims that if the process to generate these numbers is truly understood, then the numbers could not be random.

These random numbers are very important in simulation, cryptographic schemes and other security implementations, such as secure key generation, digital signature generation and database protection (for an in-depth discussion of cryptographic schemes and implementations see [1,2]).

Typical quantum procedures to generate random sequences use a source of light or the radioactive decay of a given element as they are purely random processes.Knowing the how and why of a number sequence without knowing the values that will come is possible, and this thesis explains how it is accomplished.We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising.In the Alternative experiment section we discuss another setup which would solve this issue.The question of deciding if a sequence is random does not have a definite answer since the randomness criteria will vary between different applications.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.To learn more or modify/prevent the use of cookies, see our Cookie Policy and Privacy Policy.By quantum theory we know that after passing through the PBS the state of the system, either |V〉 or |H〉, is an eigenstate of the polarization operator.The probability of obtaining each of them is given by the inner product with the initial state: The PBS sends the photons that are projected onto |V〉 through one path and the ones are projected onto |H〉 through the other.Computer algorithms or any other deterministic method for the generation of random numbers are not truly random but pseudo-random processes, since knowing the generating algorithm will result in the determination of the whole sequence.On the contrary, there are instances where it is fundamentally impossible to determine a priori the outcome of a measurement.


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