The aptitude to execute quantum computations reliably, regardless of the inherent susceptibility of quantum techniques to errors, is a central problem in quantum data science. This includes designing strategies that may right or mitigate the consequences of those errors as they happen in the course of the computation. Reaching this robustness is important for realizing the complete potential of quantum computer systems.
Overcoming these challenges will unlock the potential of superior computations. Traditionally, error correction codes tailored from classical computing have been explored, however these typically show insufficient for the distinctive traits of quantum errors. The event of efficient methods represents a vital step towards sensible, large-scale quantum computation.
