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John Gill

Researcher at Stanford University

Publications -  45
Citations -  3297

John Gill is an academic researcher from Stanford University. The author has contributed to research in topics: Turing machine & Universal Turing machine. The author has an hindex of 20, co-authored 45 publications receiving 3182 citations.

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Relativizations of the $\mathcal{P} = ?\mathcal{NP}$ Question

TL;DR: Relativized versions of the open question of whether every language accepted nondeterministically in polynomial time can be recognized deterministic in poynomial time are investigated.
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Computational Complexity of Probabilistic Turing Machines

TL;DR: It is shown that every nondeterministic machine can be simulated in the same space by a probabilistic machine with small error probability.
Proceedings ArticleDOI

Computational complexity of probabilistic Turing machines

John Gill
TL;DR: It is shown how probabilisticlinear-bounded automata can simulate nondeterministic linear-bounding automata and an example is given of a function computable more quickly by Probabilistic Turing machines than by deterministic Turing machines.
Journal ArticleDOI

Relative to a Random Oracle A, ${\bf P}^A \ne {\bf NP}^A \ne \text{co-}{\bf NP}^A $ with Probability 1

TL;DR: Let A be a language chosen randomly by tossing a fair coin for each string x to determine whether x belongs to A, and${\bf NP}^A is shown, with probability 1, to contain a-immune set, i.e., a set having no infinite subset in ${\bf P]^A $.
Proceedings ArticleDOI

Exact and approximate membership testers

TL;DR: The question of how much space is needed to represent a set is considered, given a finite universe U and some subset V and a procedure that for each element s in U determines if s is in V.