One way in which noise can corrupt the stored information is through a bit-flip error, i.e., the value of the bit is changed from 0 to 1 or from 1 to 0. Let us consider a concrete example of storing one bit of information, either 0 or 1, in the presence of noise. In addition, we discuss how we can use so-called biased noise in quantum computers to our advantage in order to improve the performance of quantum error-correcting protocols.Įrror correction techniques strive to protect information from the detrimental effects of noise that may change or even completely destroy it.
In this blog post, we explain the basic ideas behind error correction and how to apply it to quantum computing. Have you ever heard about error correction? Without it, we could not obtain awe-inspiring pictures of Jupiter and its moons, conduct intelligible mobile phone calls, or have reliable computers.
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