Impact of unreliable devices on stability of quantum computations

• URL: http://arxiv.org/abs/2307.06833v3
• Date: Mon, 1 Jul 2024 20:25:03 GMT
• Title: Impact of unreliable devices on stability of quantum computations
• Authors: Samudra Dasgupta, Travis S. Humble,
• Abstract summary: Noisy intermediate-scale quantum (NISQ) devices are valuable platforms for testing the tenets of quantum computing. These devices are susceptible to errors arising from de-coherence, leakage, cross-talk and other sources of noise. Here, we quantify the reliability of NISQ devices by assessing the necessary conditions for generating stable results within a given tolerance.
• Score: 0.1227734309612871
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Noisy intermediate-scale quantum (NISQ) devices are valuable platforms for testing the tenets of quantum computing, but these devices are susceptible to errors arising from de-coherence, leakage, cross-talk and other sources of noise. This raises concerns regarding the stability of results when using NISQ devices since strategies for mitigating errors generally require well-characterized and stationary error models. Here, we quantify the reliability of NISQ devices by assessing the necessary conditions for generating stable results within a given tolerance. We use similarity metrics derived from device characterization data to derive and validate bounds on the stability of a 5-qubit implementation of the Bernstein-Vazirani algorithm. Simulation experiments conducted with noise data from IBM Washington, spanning January 2022 to April 2023, revealed that the reliability metric fluctuated between 41% and 92%. This variation significantly surpasses the maximum allowable threshold of 2.2% needed for stable outcomes. Consequently, the device proved unreliable for consistently reproducing the statistical mean in the context of the Bernstein-Vazirani circuit.

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