phen_hiv: Calculate Final State and Payoffs in Quantum Game

In qvirus: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy

Calculate Final State and Payoffs in Quantum Game

Description

This function calculates the final quantum state and expected payoffs for two players in a quantum game based on their strategies. The function uses quantum gates and unitary transformations to simulate the game dynamics.

Usage

phen_hiv(strategy1, strategy2, alpha, beta, gamma, theta)

Arguments

strategy1	A 2x2 matrix representing the strategy of player 1.
strategy2	A 2x2 matrix representing the strategy of player 2.
alpha	A numeric value representing the payoff for outcome |00>.
beta	A numeric value representing the payoff for outcome |01>.
gamma	A numeric value representing the payoff for outcome |10>.
theta	A numeric value representing the payoff for outcome |11>.

References

Özlüer Başer, B. (2022). "Analyzing the competition of HIV-1 phenotypes with quantum game theory". Gazi University Journal of Science, 35(3), 1190–1198. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.35378/gujs.772616")}

Examples

strategy1 <- diag(2) # Identity matrix for strategy 1
strategy2 <- diag(2) # Identity matrix for strategy 2
alpha <- 1
beta <- 0.5
gamma <- 2
theta <- 0.1
result <- phen_hiv(strategy1, strategy2, alpha, beta, gamma, theta)

qvirus documentation built on June 8, 2025, 10:06 a.m.