A team of Stanford researchers has developed an efficient, scalable quantum computing system designed to quickly solve combinatorial optimization problems using off-the-shelf components operating at room temperature.
This analog to digital convertor (ADC) method improves efficiency and minimizes signal distortion by optimizing sampling rate and bit rate allocation given a prescribed bit rate.