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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of cryptology 5 (1992), S. 3-28 
    ISSN: 1432-1378
    Keywords: Key distribution ; Polarized light ; Privacy amplification ; Public discussion ; Quantum cryptography ; Reconciliation protocols ; Uncertainty principle ; Unconditional security
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We describe results from an apparatus and protocol designed to implement quantum key distribution, by which two users, who share no secret information initially: (1) exchange a random quantum transmission, consisting of very faint flashes of polarized light; (2) by subsequent public discussion of the sent and received versions of this transmission estimate the extent of eavesdropping that might have taken place on it, and finally (3) if this estimate is small enough, distill from the sent and received versions a smaller body of shared random information, which is certifiably secret in the sense that any third party's expected information on it is an exponentially small fraction of one bit. Because the system depends on the uncertainty principle of quantum physics, instead of the usual mathematical assumptions such as the difficulty of factoring, it remains secure against an adversary with unlimited computing power.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 41 (1993), S. 385-403 
    ISSN: 1572-9338
    Keywords: Maximum clique ; tabu search ; probabilistic tabu ; random graph generator ; approximate methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract We describe two variants of a tabu search heuristic, a deterministic one and a probabilistic one, for the maximum clique problem. This heuristic may be viewed as a natural alternative implementation of tabu search for this problem when compared to existing ones. We also present a new random graph generator, the $$\hat p$$ -generator, which produces graphs with larger clique sizes than comparable ones obtained by classical random graph generating techniques. Computational results on a large set of test problems randomly generated with this new generator are reported and compared with those of other approximate methods.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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