Description
Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy.
Description
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.
README.md
qvirus
The goal of qvirus is to provide resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of HIV drug design.
Installation
You can install the development version of qvirus from GitHub with:
# install.packages("devtools")
devtools::install_github("juanv66x/qvirus")
Example
This is a basic example which shows you how to solve a common problem in quantum computing.
library(qvirus)
## basic example code
Creating a Hadamard gate: H(1).
#> An object of class "sqgate"
#> Slot "bit":
#> [1] 1
#>
#> Slot "M":
#> [,1] [,2]
#> [1,] 0.7071068+0i 0.7071068+0i
#> [2,] 0.7071068+0i -0.7071068+0i
#>
#> Slot "type":
#> [1] "H"
Applying a gate to a quantum state.
library(qsimulatR)
H(1)*six_state(1)[[1]]
#> ( 0.7071068 ) * |0>
#> + ( 0.7071068 ) * |1>