LogosQ Algorithms

Optimized quantum algorithms for the LogosQ framework, providing 2-5x speedups over Python implementations.

Features

• VQE: Variational Quantum Eigensolver for ground state energy
• QAOA: Quantum Approximate Optimization Algorithm
• Grover: Unstructured search with quadratic speedup
• QFT: FFT-optimized Quantum Fourier Transform
• Parallel execution: Rayon-based workload distribution

Quick Start

use logosq_algorithms::{Grover, Oracle};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let oracle = Oracle::from_marked_states(&[5], 3);
    let grover = Grover::new(oracle)?;
    let result = grover.run(1000)?;
    
    println!("Found: {}", result.most_frequent());
    Ok(())
}

Installation

[dependencies]

logosq-algorithms = "0.1"

License

MIT OR Apache-2.0