Multi-exponential error extrapolation and combining error mitigation techniques for NISQ applications

Extrapolation Error

Two kinds of error commonly arise in statistical inference. The most common one is sampling error, arising from small samples. The second is the error arising from unrepresentative samples. Such errors occur in curve-fitting examples when the curves are fitted in one domain and used for prediction in another, which might be referred to as an error of extrapolation. The problem with extrapolatio...

The Reduction of Truncation Error by Extrapolation Techniques ’

Error Control Techniques and Their Applications

This paper is an introduction to the subject of error-control coding. Undesirable disturbances like noise, EMI, crosstalk can occur across the communication channel, causing the received information to be different from the original information sent. So to remove this we need some methods to detect as well as correct errors. This paper presents in a tutorial form a survey of the old and recent,...

Simulation - Extrapolation : the Measurement Error

Error and Error Mitigation in Low-Coverage Genome Assemblies

The recent release of twenty-two new genome sequences has dramatically increased the data available for mammalian comparative genomics, but twenty of these new sequences are currently limited to ∼2× coverage. Here we examine the extent of sequencing error in these 2× assemblies, and its potential impact in downstream analyses. By comparing 2× assemblies with high-quality sequences from the ENCO...