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In [[theoretical computer science]], a '''probabilistic Turing machine''' is a [[non-deterministic Turing machine]] that chooses between the available transitions at each point according to some [[probability distribution]]. As a consequence, a probabilistic Turing machine can—unlike a deterministic Turing Machine—have [[stochastic]] results; that is, on a given input and instruction state machine, it may have different run times, or it may not halt at all; furthermore, it may accept an input in one execution and reject the same input in another execution.
In the case of equal probabilities for the transitions,
A [[quantum computer]] is another model of computation that is inherently probabilistic.
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