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Quantum Machine Learning Quantum Error Correction Fault Tolerance

Fault Tolerant Synthesis of Reversible Circuits

arXiv
Authors: Anugrah Jain

Year

2013

Paper ID

32150

Status

Preprint

Abstract Read

~2 min

Abstract Words

124

Citations

N/A

Abstract

Reversible computing has emerged as a possible low cost alternative to conventional computing in terms of speed, power consumption and computing capability. In order to achieve reliable circuits in reversible computing, provision for fault tolerance is necessary. A number of fault models, fault tolerant techniques (such as parity-preserving) and testing approaches have proposed in literature. This dissertation exploits parity-preserving characteristics of two reversible gates which provide low cost parity-preserving based fault tolerance. In order to extend online testability of reversible circuits, the substitution of Peres gate has been presented. The online testing capabilities of MCF including Swap and Fredkin gates were also identifies. Finally a tool was developed to implement all above substitutions and converting any reversible circuit to parity-preserving based fault tolerant circuit.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2013 reference point for readers tracking recent quantum research.
  • Reversible computing has emerged as a possible low cost alternative to conventional computing in terms of speed, power consumption and computing capability.

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