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 a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
| Version: | 0.0.6 |
| Depends: | R (≥ 3.5) |
| Imports: | dplyr, magrittr, stats |
| Suggests: | rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-04-15 |
| DOI: | 10.32614/CRAN.package.qvirus |
| Author: | Juan Pablo Acuña González
|
| Maintainer: | Juan Pablo Acuña González <22253567 at uagro.mx> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | qvirus results |
| Reference manual: | qvirus.html , qvirus.pdf |
| Package source: | qvirus_0.0.6.tar.gz |
| Windows binaries: | r-devel: qvirus_0.0.6.zip, r-release: qvirus_0.0.6.zip, r-oldrel: qvirus_0.0.6.zip |
| macOS binaries: | r-release (arm64): qvirus_0.0.6.tgz, r-oldrel (arm64): qvirus_0.0.6.tgz, r-release (x86_64): qvirus_0.0.6.tgz, r-oldrel (x86_64): qvirus_0.0.6.tgz |
| Old sources: | qvirus archive |
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