Skip to main content

Documentation Index

Fetch the complete documentation index at: https://tsim.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

class CompiledScalarGraphs

CompiledScalarGraphs()
JAX-compatible compiled representation of a list of scalar ZX graphs. The scalar for each graph is a product of four term families, multiplied by a per-graph ScalarPrefactor (global phase, floatfactor, 2^power2, optional approximate complex floatfactor). All arrays are static-shaped so the whole struct can be traced under jax.jit.

class ExactScalarArray

ExactScalarArray(coeffs: Array, power: Array | None = None)
Exact scalar array for ZX-calculus phase arithmetic using dyadic representation. Represents values of the form (c_0 + c_1·ω + c_2·ω² + c_3·ω³) × 2^power where ω = e^(iπ/4). This enables exact computation without floating-point errors.

prod

prod(axis: int = -1) -> ExactScalarArray
Compute product along the specified axis using associative scan. Returns identity (1+0i with power 0) for empty reductions. Parameters:
  • axis (int) — The axis along which to compute the product.
Returns:
  • ExactScalarArray — ExactScalarArray with the product computed along the axis.

sum

sum(axis: int = -1) -> ExactScalarArray
Sum elements along the specified axis using normalized pairwise adds. Parameters:
  • axis (int) — The axis along which to sum.
Returns:
  • ExactScalarArray — ExactScalarArray with the sum computed along the axis.

to_complex

to_complex() -> jax.Array
Convert to complex number.

evaluate

evaluate(circuit: CompiledScalarGraphs, param_vals: Array) -> Array
Evaluate compiled circuit with batched parameter values. Each term family (NodePhases, HalfPiPhases, PiProducts, PhasePairs) computes its own contribution via .evaluate(param_vals). This function multiplies those together with the per-graph ScalarPrefactor and folds in power2 / any approximate floatfactor. Parameters:
  • circuit (CompiledScalarGraphs) — Compiled circuit representation.
  • param_vals (Array) — Binary parameter values (error bits + measurement/detector outcomes), shape (batch_size, n_params).
Returns:
  • Array — Complex array of shape (batch_size,) — the per-sample amplitude.