It was made possible by grant T32HL079888 from the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH), and her dissertation mentor, Dr. Hemant K. Tiwari, ...
Because of this, the CQM solver allows quantum developers to better represent constrained problems – such as production capacity, available funds, and asset tracking – by using continuous variables, ...
Suitable linear transformations for preliminary data analysis are available when data consist solely of continuous variables or solely of binary variables. When mixtures of variables are observed, ...
The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...
The field of quantum information processing aims to harness the uniquely non-classical features of quantum mechanics to perform computational tasks that surpass classical capabilities. In continuous ...
Quantum information is a powerful technology for increasing the amount of information that can be processed and communicated securely. Using quantum entanglement to securely distribute a secret ...
This is a preview. Log in through your library . Abstract A new test statistic is proposed for detecting association between two continuous variables. For sample sizes of 20 or more, the statistic's ...
Continuous variable quantum information technology can provide an equivalent to analog data in the quantum world. Researchers are now demonstrating that it's possible to use these systems to avoid ...
Objectives We aimed to examine the relationship between cycling (particularly commuter cycling) and risk factors associated with cardiovascular diseases (CVDs) including body composition, blood lipids ...