Quantum algorithms developed to evoke noise across large-scale quantum computers

The researchers used IBM quantum experience to conduct their experiments. Sincerely: IBM

Australian and North American physicists demonstrate rigorous, scalable diagnostic tools.

Noise is the main obstacle in building quantum computers on a large scale. To overcome noise (interference or instability), scientists need to understand how it affects the entire quantum system.

Until now this information was available only to very small devices or subsets of devices.

Dr. Work published today by Robin Harper and colleagues Nature physics Develops algorithms that will work in large quantum devices.

They demonstrate this by diagnosing noise in an IBM quantum experience device, searching for correlations in a 14-bit machine not previously known.

Dr. Harper said: “The result is the first implementation of a rigorous and scalable diagnostic algorithm capable of running on current quantum devices and beyond.”

References: Robin Harper, Steven T. Flemia and Joel J. “Efficient Education of Quantum Noise” by Wallman, 10 August 2020, Nature physics.
DOI: 10.1038 / s41567-020-0992-8

Dr. Harper is a postdoctoral researcher at the Sydney Nano Institute and part of the Australian Research Council Center of Excellence for Engineered Quantum Systems.