Error Correction For Soft Errors

Generating artificial errors for grammatical error correction

This paper explores the generation of artificial errors for correcting grammatical mistakes made by learners of English as a second language. Artificial errors are injected into a set of error-free sentences in a probabilistic manner using statistics from a corpus. Unlike previous approaches, we use linguistic information to derive error generation probabilities and build corpora to correct sev...

Quantum error correction for continuously detected errors

Modeling coherent errors in quantum error correction

Analysis of quantum error correcting codes is typically done using a stochastic, Pauli channel error model for describing the noise on physical qubits. However, it was recently found that coherent errors (systematic rotations) on physical data qubits result in both physical and logical error rates that differ significantly from those predicted by a Paulimodel. Herewe examine the accuracy of the...

Quantum Error Correction of Time-correlated Errors

The complexity of the error correction circuitry forces us to design quantum error correction codes capable of correcting a single error per error correction cycle. Yet, time-correlated error are common for physical implementations of quantum systems; an error corrected during the previous cycle may reoccur in the next cycle due to physical processes specific for each physical implementation of...

Soft Errors and Tolerance for Soft Errors

IC technologies are approaching the ultimate limits of silicon in terms of channel width, power supply and speed. By approaching these limits, circuits are becoming increasingly sensitive to noise. The reduction of VDD voltage and geometry shrinking implies the reduction of node capacitance. This will increase the ICs sensitivity to alpha particles and atmospheric neutrons, creating unacceptabl...