2021 journal article
Indexed improvements for real-time trotter evolution of a (1
QUANTUM SCIENCE AND TECHNOLOGY, 6(4).
author keywords: quantum computing; Ising model; trotterization; error mitigation; benchmarking
TL;DR:
It is shown that nonlinear aspects of the trotter errors allow us to take much larger step then suggested by low-order analysis to reach physically relevant time scales with today’s NISQ technology.
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9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: September 20, 2021
Today’s quantum computers offer the possibility of performing real-time calculations for quantum field theory scattering processes motivated by high energy physics. In order to follow the successful roadmap which has been established for the calculation of static properties at Euclidean time, it is crucial to develop new algorithmic methods to deal with the limitations of current noisy intermediate-scale quantum (NISQ) devices and to establish quantitative measures of the progress made with different devices. In this paper, we report recent progress in these directions. We show that nonlinear aspects of the trotter errors allow us to take much larger step then suggested by low-order analysis. This is crucial to reach physically relevant time scales with today’s NISQ technology. We propose to use an index averaging absolute values of the difference between the accurately calculated trotter evolution of site occupations and their actual measurements on NISQ machines (G index) as a measure to compare results that have been obtained from different hardware platforms. Using the transverse Ising model in one spatial dimension with four sites we apply this metric across several hardware platforms. We study the results including readout mitigation and Richardson extrapolations and show that the mitigated measurements are very effective based on the analysis of the trotter step size modifications. We discuss how this advance in the trotter step size procedures can improve quantum computing physics scattering results and how this technical advance can be applied to other machines and noise mitigation methods.