Quantum Breakthrough: IBM Cuts Sampling Demands by 63-Fold

IBM researchers have made significant strides in reducing the demands of quantum error detection and mitigation. They combined two methods to reduce sampling overhead by as much as 63 times compared to using only one method.

In their experiment, they used error-detecting checks to discard runs with identifiable faults, then applied probabilistic error cancellation to errors that escaped detection.

The study suggests that quantum error mitigation and correction may not be mutually exclusive. In fact, the two methods could work together to enable reliable computations with fewer resources.

Researchers used a superconducting quantum processor to test their approach on a small physics simulation. The hybrid method reproduced the expected results while reducing sampling overhead by 3.7 times at two simulation steps and 63 times at six steps.