Quantum Algorithm Developed to Characterize Noise Across Large-Scale Quantum Computers

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The scientists utilized the IBM Quantum Experience to perform their experiments. Credit: IBM

Australian and North American physicists show extensive, scalable diagnostic tool.

Noise is the primary barrier to constructing massive quantum computer systems. To tame the sound (disturbance or instability), researchers require to comprehend how it impacts a whole quantum system.

Until now this details was just offered for extremely little gadgets or subsets of gadgets.

Work by Dr. Robin Harper and associates released today in Nature Physics establishes algorithms that will work throughout big quantum gadgets.

They show this by detecting the sound in an IBM Quantum Experience gadget, finding connections in the 14-qubit device not formerly spotted.

Dr. Harper stated: “The results are the first implementation of provably rigorous and scalable diagnostic algorithms capable of being run on current quantum devices and beyond.”

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

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



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