PRISM-Q runs quantum circuits fast by matching each one to the right simulation strategy. It dispatches across eight CPU backends plus an optional CUDA path, optimizes circuits through a multi-pass fusion pipeline, and uses AVX2, FMA, and BMI2 SIMD in the inner loop. Input is OpenQASM 3.0, with backward-compatible 2.0 syntax. The same library handles a two-qubit Bell pair and a thousand-qubit Clifford circuit.

#![allow(unused)]
fn main() {
use prism_q::CircuitBuilder;

let result = CircuitBuilder::new(2).h(0).cx(0, 1).run(42).unwrap();
let probs = result.probabilities.unwrap();
// |00> = 0.5, |11> = 0.5
}

What it does

• Eight CPU backends selected automatically per circuit: statevector, stabilizer (with factored and filtered variants), sparse, MPS, product state, tensor network, and dynamic factored split-state.
• Compiled shot samplers that sample without rebuilding the full statevector each shot, including noisy and detector/QEC paths.
• Clifford+T strategies (stabilizer rank, stochastic and deterministic Pauli propagation) for circuits beyond the reach of a dense statevector.
• Optional CUDA backend for statevector and stabilizer execution.

Where to go next

• Installation and Your First Circuit: a hands-on start.
• Architecture: backends, dispatch tree, fusion pipeline, and SIMD strategy.
• Glossary: terminology used across the documentation.
• API reference: generated Rust API documentation.
• Source and issues: the repository on GitHub.