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CHAPTER 4

NISQ and Error Correction

SECTION 1

The NISQ Era

Image courtesy of Alice & Bob

SECTION 2

Error Mitigation

Error mitigation involves post-processing the results of a computation to reduce the impact of errors. This is typically done by applying statistical techniques to the results of the computation, such as extrapolation or bootstrapping, to reduce the noise and errors present in the data. Extrapolation involves fitting a model to the data and using it to estimate the true value of a quantity. Bootstrapping involves resampling the data and using the resampled data to estimate the uncertainty in the measurement.

SECTION 3

Error Correction

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Challenges to Realizing Fault Tolerance

Index

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