Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
Version: | 0.0.2 |
Suggests: | bookdown, knitr, qsimulatR, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-08-26 |
DOI: | 10.32614/CRAN.package.qvirus |
Author: | Juan Pablo Acuña González [aut, cre, cph] |
Maintainer: | Juan Pablo Acuña González <acua6307 at gmail.com> |
BugReports: | https://github.com/juanv66x/qvirus/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/juanv66x/qvirus |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | qvirus results |
Reference manual: | qvirus.pdf |
Vignettes: |
Applications (source, R code) Entanglement (source, R code) Introduction (source, R code) |
Package source: | qvirus_0.0.2.tar.gz |
Windows binaries: | r-devel: qvirus_0.0.2.zip, r-release: qvirus_0.0.2.zip, r-oldrel: qvirus_0.0.2.zip |
macOS binaries: | r-release (arm64): qvirus_0.0.2.tgz, r-oldrel (arm64): qvirus_0.0.2.tgz, r-release (x86_64): qvirus_0.0.2.tgz, r-oldrel (x86_64): qvirus_0.0.2.tgz |
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