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Generating Probability Distributions using Multivalued Stochastic Relay Circuits

Lee, David and Bruck, Jehoshua (2011) Generating Probability Distributions using Multivalued Stochastic Relay Circuits. . (Unpublished)

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The problem of random number generation dates back to von Neumann's work in 1951. Since then, many algorithms have been developed for generating unbiased bits from complex correlated sources as well as for generating arbitrary distributions from unbiased bits. An equally interesting, but less studied aspect is the structural component of random number generation as opposed to the algorithmic aspect. That is, given a network structure imposed by nature or physical devices, how can we build networks that generate arbitrary probability distributions in an optimal way? In this paper, we study the generation of arbitrary probability distributions in multivalued relay circuits, a generalization in which relays can take on any of N states and the logical 'and' and 'or' are replaced with 'min' and 'max' respectively. Previous work was done on two-state relays. We generalize these results, describing a duality property and networks that generate arbitrary rational probability distributions. We prove that these networks are robust to errors and design a universal probability generator which takes input bits and outputs arbitrary binary probability distributions.

Item Type:Report or Paper (Discussion Paper)
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URLURL TypeDescription Paper
Bruck, Jehoshua0000-0001-8474-0812
Additional Information:The authors would like to thank Dan Wilhelm, Hongchao Zhou, and Ho-lin Chen for helpful discussions. They would also like to thank the Caltech SURF program, the Molecular Programming Project funded by the NSF Expeditions in Computing Program under grant CCF-0832824, and Aerospace Corporation for funding to make this research possible.
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Aerospace CorporationUNSPECIFIED
Record Number:CaltechAUTHORS:20191004-150014222
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99098
Deposited By: Tony Diaz
Deposited On:04 Oct 2019 22:40
Last Modified:04 Oct 2019 22:40

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