Metastability-Containing Turing Machines
Johannes Bund, Amir Leshem, Moti Medina

TL;DR
This paper explores the computational limits of Turing Machines under uncertain inputs, focusing on metastability, and introduces a hardware-realizable universal machine for metastable closure computation.
Contribution
It establishes the non-computability of metastable closure in general, analyzes specific cases for EXPTIME and polynomial time problems, and presents a hardware-realizable universal Turing Machine.
Findings
Metastable closure of a Turing Machine is generally non-computable.
Resolving a single uncertain bit in EXPTIME problems is EXPTIME-complete.
A universal Turing Machine can compute metastable closure with exponential time overhead.
Abstract
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 computes the closure over all possibilities, given an uncertain input, is called a Metastability-containing system. While prior work has addressed metastability-containing systems in the context of combinational and clocked circuits, state machines, and logic formulas, its implications for general-purpose computation remain largely unexplored. In this work, we study the metastability-containing systems within an abstract computational model: The Turing Machine. This approach allows us to investigate the computational limits and capabilities of Turing Machines operating under uncertain inputs. Specifically, we prove that in general the metastable…
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