Random Number Generator
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=Intro= | =Intro= | ||
We would like to generate random numbers. Each cell shall represent one bit of the random number. | We would like to generate random numbers. Each cell shall represent one bit of the random number. | ||
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- Urs: Really very important for some engineering issues. But how could we affect the statistical behaviour of this randomness (Gaussian, uniform,...)? | - Urs: Really very important for some engineering issues. But how could we affect the statistical behaviour of this randomness (Gaussian, uniform,...)? | ||
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| + | Back to [[ETH Zurich]] main page. | ||
Revision as of 14:51, 2 August 2005
Back to ETH Zurich main page.
Contents |
Intro
We would like to generate random numbers. Each cell shall represent one bit of the random number.
Motivation
There is an immense need for "good" random numbers. Especially cryptography needs "good" random numbers. There is plenty of literature and tests to determine the quality of random numbers. Can Cells generate random numbers? If not, what can we learn about cell behavior?
Principle1
We use bi-stable cells. The cells are put into a media promoting both of the stable states of the cell. Consequently the cell switch to one of the two stable states.
Principle2
A pulse is generated with stochastic behaviour (through very sensitive process?).
Possible Extensions
Still open.
Discussion
Comments:
- Urs: Really very important for some engineering issues. But how could we affect the statistical behaviour of this randomness (Gaussian, uniform,...)?
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