qvirus0.0.3 package

Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy

complex_check

Check if Coefficients of a Qubit State Object are Complex Numbers

conjugate_transpose

Calculate the Conjugate Transpose of a Quantum State

create_interactions

Create Interactions from CD4 and Viral Load Data

estimate_payoffs

Estimate Payoff Parameters for HIV Phenotype Interactions

InteractionClassification

Interaction Classification for Viral Load and CD4 Differences

mse.InteractionClassification

Mean Squared Errors method for the InteractionClassification class

mse

Mean Squared Errors for Interaction Classification

nearest_payoff

Find Nearest Payoff

normalize_check

Normalize Check Function for qstate Class Object

payoffs_list

Generate Payoff List Based on Quantum Gates and Parameters

phen_hiv

Calculate Final State and Payoffs in Quantum Game

plot.interaction

Plot Interaction Differences

plot.InteractionClassification

Plot InteractionClassification Clusters

print.interaction

Print Summary of CD4 and Viral Load Differences

print.InteractionClassification

Print Method for InteractionClassification Objects

pure_qubit1

Create a normalized pure quantum state for a 1-qubit system.

pure_qubit2

Create a normalized pure quantum state for a 2-qubit system.

qvirus-package

qvirus: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretrov...

simulate_entanglement

Simulate Entanglement Evolution

six_state

Create Six Important States on the Bloch Sphere

summary.interaction

Summary Method for Interaction Class Objects

summary.InteractionClassification

Summarize Interaction Classification Results

summary.payoffs

Summarize Payoffs

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.

  • Maintainer: Juan Pablo Acuña González
  • License: MIT + file LICENSE
  • Last published: 2024-10-26