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Related papers: Turing Machine with Faults, Failures and Recovery

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We consider computations of a Turing machine under noise that causes consecutive violations of the machine's transition function. Given a constant upper bound B on the size of bursts of faults, we construct a Turing machine M(B) subject to…

Computational Complexity · Computer Science 2012-03-08 Ilir Capuni , Peter Gacs

A theory of one-tape (one-head) linear-time Turing machines is essentially different from its polynomial-time counterpart since these machines are closely related to finite state automata. This paper discusses structural-complexity issues…

Computational Complexity · Computer Science 2010-07-20 Kohtaro Tadaki , Tomoyuki Yamakami , Jack C. H. Lin

We consider computations of a Turing machine subjected to noise. In every step, the action (the new state and the new content of the observed cell, the direction of the head movement) can differ from that prescribed by the transition…

Computational Complexity · Computer Science 2021-12-07 Ilir Çapuni , Peter Gács

The notion of quantum Turing machines is a basis of quantum complexity theory. We discuss a general model of multi-tape, multi-head Quantum Turing machines with multi final states that also allow tape heads to stay still.

Quantum Physics · Physics 2007-05-23 Tomoyuki Yamakami

A catalytic Turing machine is a variant of a Turing machine in which there exists an auxiliary tape in addition to the input tape and the work tape. This auxiliary tape is initially filled with arbitrary content. The machine can read and…

Computational Complexity · Computer Science 2024-08-28 Chetan Gupta , Rahul Jain , Vimal Raj Sharma , Raghunath Tewari

Metastability is a spurious mode of operation in digital signals, where an electrical signal fails to settle into a stable state within a specified time, leading to uncertainty and potentially failing downstream hardware. A system that…

Computational Complexity · Computer Science 2026-04-21 Johannes Bund , Amir Leshem , Moti Medina

Supercomputing systems today often come in the form of large numbers of commodity systems linked together into a computing cluster. These systems, like any distributed system, can have large numbers of independent hardware components…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Michael Treaster

We introduce a new type of generalized Turing machines (GTMs), which are intended as a tool for the mathematician who studies computability in Analysis. In a single tape cell a GTM can store a symbol, a real number, a continuous real…

Logic · Mathematics 2015-07-01 Nazanin Tavana , Klaus Weihrauch

Multiway Turing machines (also known as nondeterministic Turing machines or NDTMs) with explicit, simple rules are studied. Even very simple rules are found to generate complex behavior, characterized by complex multiway graphs, that can be…

Logic in Computer Science · Computer Science 2021-03-09 Stephen Wolfram

Infinite time Turing machines with only one tape are in many respects fully as powerful as their multi-tape cousins. In particular, the two models of machine give rise to the same class of decidable sets, the same degree structure and, at…

Logic · Mathematics 2007-05-23 Joel David Hamkins , Daniel Evan Seabold

A channel machine consists of a finite controller together with several fifo channels; the controller can read messages from the head of a channel and write messages to the tail of a channel. In this paper, we focus on channel machines with…

Information Theory · Computer Science 2016-07-07 Patricia Bouyer , Nicolas Markey , Joël Ouaknine , Philippe Schnoebelen , James Worrell

We study an abstract group of reversible Turing machines. In our model, each machine is interpreted as a homeomorphism over a space which represents a tape filled with symbols and a head carrying a state. These homeomorphisms can only…

Group Theory · Mathematics 2023-03-31 Sebastián Barbieri , Jarkko Kari , Ville Salo

Neural Turing Machines (NTM) contain memory component that simulates "working memory" in the brain to store and retrieve information to ease simple algorithms learning. So far, only linearly organized memory is proposed, and during…

Artificial Intelligence · Computer Science 2015-10-27 Wei Zhang , Yang Yu , Bowen Zhou

Decomposition, statically dividing a program into multiple units, is a common programming technique for realizing parallelism and refining programs. The decomposition of a sequential program into components is tedious, due to the…

Software Engineering · Computer Science 2020-09-09 Sabah Al-Fedaghi

Two-Phase TMR conserves energy by partitioning redundancy operations into two stages and making the execution of the third task copy optional, yet it remains susceptible to permanent faults. Reactive-TMR (R-TMR) counters this by isolating…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-30 Yiming Hu

Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent…

Artificial Intelligence · Computer Science 2011-07-19 Rafik Mahdaoui , Leila Hayet Mouss , Mohamed Djamel Mouss , Ouahiba Chouhal

An algebraic representation of the Turing machines is given, where the configurations of Turing machines are represented by 4 order tensors, and the transition functions by 8 order tensors. Two types of tensor product are defined, one is to…

Computational Complexity · Computer Science 2016-07-14 Yue Liu

For any fixed $k$, a remarkably simple single-tape Turing machine can simulate $k$ independent counters in real time. Informally, a counter is a storage unit that maintains a single integer (initially 0), incrementing it, decrementing it,…

Computational Complexity · Computer Science 2007-05-23 Joel Seiferas , Paul Vitanyi

Triple Modular Redundancy (TMR) is a suitable fault tolerant technique for SRAM-based FPGA. However, one of the main challenges in achieving 100% robustness in designs protected by TMR running on programmable platforms is to prevent upsets…

Hardware Architecture · Computer Science 2011-11-09 F. Lima Kastensmidt , L. Sterpone , L. Carro , M. Sonza Reorda

Constant bit-size Transformers are known to be Turing complete, but existing constructions require $\Omega(s(n))$ chain-of-thought (CoT) steps per simulated Turing machine (TM) step, leading to impractical reasoning lengths. In this paper,…

Computational Complexity · Computer Science 2025-12-03 Qian Li , Yuyi Wang
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