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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...

: 2  Quantum Turing machines can be related to classical and probabilistic Turing machines in a framework based on transition matrices. That is, a matrix...

In theoretical computer science, a nondeterministic Turing machine (NTM) is a theoretical model of computation whose governing rules specify more than...

function problems) and using other models of computation (e.g. probabilistic Turing machines, interactive proof systems, Boolean circuits, and quantum computers)...

science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, as described by Alan Turing in his seminal paper...

Church's work intertwined with Turing's to form the basis for the Church–Turing thesis. This thesis states that Turing machines, lambda calculus, and other...

PP, or PPT is the class of decision problems solvable by a probabilistic Turing machine in polynomial time, with an error probability of less than 1/2...

{\mathcal {M}}} be a distinguisher for the probabilistic version of Yao's test, i.e. a probabilistic Turing machine, running in polynomial time, such that...

"library" can be printed. Turing machine Universal Turing machine Alternating Turing machine Probabilistic Turing machine Turing machine equivalents Sipser,...

A neural Turing machine (NTM) is a recurrent neural network model of a Turing machine. The approach was published by Alex Graves et al. in 2014. NTMs combine...

A Turing machine is an abstract mathematical computational device named after Alan Turing; see the box for variants of this meaning. Turing machine may...

Non-deterministic Turing machine Post–Turing machine Probabilistic Turing machine Quantum Turing machine Read-only right moving Turing machines Read-only Turing machine...

relationship between partial Turing machines and total Turing machines: Can every partial function computable by a partial Turing machine be extended (that is...

problems solvable in logarithmic space and polynomial time with probabilistic Turing machines with one-sided error. It is named in analogy with RP, which...

to supplement the article Turing machine. The following table is Turing's very first example (Turing 1937): "1. A machine can be constructed to compute...

science, bounded-error probabilistic polynomial time (BPP) is the class of decision problems solvable by a probabilistic Turing machine in polynomial time...

theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties:...

"Post–Turing program" and "Post–Turing machine" were used by Martin Davis in 1973–1974 (Davis 1973, p. 69ff). Later in 1980, Davis used the name "Turing–Post...

"Probabilistic Models of Cognition". Probabilistic Models of Cognition - 2nd Edition. Retrieved May 27, 2023. "The Turing language for probabilistic programming"...

Turing machine (or to be more precise, the definition of acceptance for such a machine) alternates between these modes. An alternating Turing machine...