Researchers Utilize Noise Data to Improve Reliability of Quantum Computers

A new method by researchers at Princeton University, University of Chicago and IBM significantly improves the reliability of quantum computers by utilizing data about the noisiness of operations on real hardware.

A diagram depicting the noise-adaptive compiler developed by researchers from the Enabling Practical-scale Quantum Computation collaboration and IBM. (Credit: Prakash Murali/Princeton University)

In a paper presented this week, researchers reported a novel compilation method that boosts the ability of resource-constrained and “noisy” quantum computers to produce useful answers. Notably, the researchers illustrated a nearly three times average improvement in reliability for real-system runs on IBM’s 16-qubit quantum computer, improving some program executions by as much as 18-fold.

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