Quantum algorithm developed to characterize sound over characteristic quantum computers


IBM Quantum Computers

The researchers used the IBM Quantum Experience to conduct their experiments. Credit: IBM

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

Raus is the main obstacle to building large-scale quantum computers. To tame the sound (interference or instability), scientists need to understand how it affects an entire quantum system.

Until now, this information was only available for very small devices as subsets of devices.

Work of Dr. Robin Harper and colleagues published in today Nature Physics develops algorithms that will work across large quantum devices.

They demonstrate this by diagnosing the sound in an IBM Quantum Experience device, discovering correlations in the 14-qubit machine not previously detected.

Dr. Harper said, “The results are the first implementation of demonstrably rigorous and scalable diagnostic algorithms that can be performed on current quantum devices and beyond.”

Reference: “Efficiency learning of quantum noise” by Robin Harper, Steven T. Flammia and Joel J. Wallman, August 10, 2020, Nature Physics.
DOI: 10.1038 / s41567-020-0992-8

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