Graphical Representations in Regression Analysis

Toit, S. H. C. du; Steyn, A. G. W.; Stumpf, R. H.

doi:10.1007/978-1-4612-4950-4_7

Cited by 2 publications

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“…We noted the slight difference between the classical computing result (“EACP 1IC” in the plot) and the quantum simulator result, and verified that the error in the variational quantum algorithm only comes from the shot error, not the numerical instability of solving the differential eqn (17) (as the matrix A can be singular at some time point). We plotted the error scales using the box plot 77 for different number of shots, ranging from 100 to 1 000 000. For each element in matrix A and vector C , the statistics are taken from 1000 timesteps in evolving eqn (17) with quantum circuits.…”

Section: Resultsmentioning

confidence: 99%

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

Walters,

Tsakanikas,

Wang

2024

Phys. Chem. Chem. Phys.

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Section: Resultsmentioning

confidence: 99%

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

Walters,

Tsakanikas,

Wang

2024

Phys. Chem. Chem. Phys.

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“…Boxplots are applied to illustrate the locality, spread and skewness of the numerical data in this study. A boxplot is a standardized way of displaying the dataset based on the five‐number summary: the lower whisker, the upper whisk, the sample median (Q2), and the first (Q1) and third quartiles (Q3) (Dutoit et al., 1986). The upper (or lower) whisk is the highest (lowest) data point in the data set excluding any outliers.…”

Section: Methodsmentioning

confidence: 99%

Vertical Wind Speed Variation in a Metropolitan City in South China

et al. 2022

Earth and Space Science

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Under the background of global warming, the frequency of meteorological disasters caused by extreme weather and the impact on people's lives have gradually increased from 1951 to 2019 (Yamaguchi, 2020). China is one of the countries with the most severe meteorological disasters in the world. Meteorological disasters account for more than 70% of all-natural disaster losses in the country every year (Gao et al., 2012). Guangdong Province is located on the southeast coast and adjacent to the Northwest Pacific Ocean, with the longest coastline for a province in China, and is extremely vulnerable to landfall typhoons, resulting in huge economic losses and casualties (Ni et al., 2015;Yin et al., 2012). Shenzhen, located on the central coast of Southern Guangdong and bordering the northern part of Hong Kong, is a metropolitan with a permanent resident population of 17.56 million by the end of 2020 (Shenzhen Government Online, 2021). Shenzhen ranks fifth in Asia in terms of economic power, and plays a vital role in the national economy (Shenzhen Government Online, 2021). According to statistics, there are more than a thousand tall buildings with a height of more than 100 m in the city. Most of the facades of the high-rise buildings in Shenzhen are glass enclosure structures. For such a prosperous city with booming skyscrapers, the safety of high-rise buildings under the influence of strong winds is essential, especially under the influence of frequent typhoons (Yu et al., 2019). Therefore, the local government must understand the wind variation characteristics with the changing building height for wind engineering in terms of design and condition assessment (Zhang et al., 2021) to protect people's lives and properties.The power law is one of the most common methods in wind engineering for expressing the relationship between wind speed and height above ground (Lim et al., 2017). The wind speed at a given location increases with height

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Graphical Representations in Regression Analysis

Cited by 2 publications

References 0 publications

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

Vertical Wind Speed Variation in a Metropolitan City in South China

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