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...

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

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

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

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...

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

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...

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...

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

A Turing machine is a hypothetical computing device, first conceived by Alan Turing in 1936. Turing machines manipulate symbols on a potentially infinite...

Quantum finite automata or deterministic probabilistic automata. Computability Turing machine equivalents Stack machine Queue automaton Quantum computer Kozen...

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...

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

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...

there is an efficient (polynomial time) randomized algorithm (or probabilistic Turing machine) which recognizes NO-instances with absolute certainty and recognizes...

"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...

Zeno machines (abbreviated ZM, and also called accelerated Turing machine, ATM) are a hypothetical computational model related to Turing machines that...

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

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

Church-Turing thesis. In short the modern Church-Turing thesis states that any computational model can be simulated in polynomial time with a probabilistic Turing...

computability theory, the Church–Turing thesis (also known as computability thesis, the Turing–Church thesis, the Church–Turing conjecture, Church's thesis...

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

logarithmic-space Turing machine in the statement above can be replaced by a bounded-error probabilistic constant-space Turing machine that is allowed to...

Turing machines are used to define complexity classes, such as deterministic Turing machines, probabilistic Turing machines, non-deterministic Turing...

of decision problems that can be solved with zero error on a probabilistic Turing machine in polynomial time RP: The complexity class of decision problems...

polynomial time (RP) is the complexity class of problems for which a probabilistic Turing machine exists with these properties: It always runs in polynomial time...

2-state 5-symbol Turing machine, and conjectured that a particular 2-state 3-symbol Turing machine (hereinafter (2,3) Turing machine) might be universal...