ppvm/ Pauli propagation & tableau simulation
Pick your path

Quick Start

ppvm has two audiences. Choose the path that matches yours — the material differs because the goals differ.

Python

Python Quick Start

For researchers

You have a Stim program or a Bloqade circuit and you want to run it under realistic noise, sample many shots, and look at the outcomes. No Rust knowledge required.

  • Install via uv
  • Parse and execute Stim programs
  • Sample shots, inspect loss-aware outcomes
  • Drive the generalized tableau gate-by-gate
  • Compute expectation values with Pauli propagation
  • Read the loss-channel math, end-to-end
Open the Python Quick StartRust

Rust Quick Start

For library developers

You want to embed ppvm in a simulator, build a new gate or noise model on top of the trait hierarchy, or run benchmark sweeps from native code. The Python wrapper would be a tax you don't need.

  • Add ppvm-pauli-sum and ppvm-tableau as Cargo deps
  • Build a typed PauliSum<Config>
  • Use the gate/noise/measurement traits
  • Plug in your own truncation strategy
Open the Rust Quick Start