logosq-algorithms 0.1.0

# 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


```rust
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


```toml
[dependencies]
logosq-algorithms = "0.1"
```

## License


MIT OR Apache-2.0