When too few bits are used to represent a signal, each sample is rounded to the nearest allowed value and no longer matches the true signal level. The rounding errors cause noise, called quantization noise, because the actual signal is approximated using a small set of values. 8-bit computer audio is a good example of quantization noise, but the Red Panda Bitcrusher can go all the way down to 1 bit.
