catalyst.passes.ppr_to_ppm¶
- ppr_to_ppm(qnode)[source]¶
Specify that the MLIR compiler pass for absorbing Clifford Pauli Product Rotation (PPR) operations, \(\exp{iP\tfrac{\pi}{4}}\), into the final Pauli Product Measurement (PPM) will be applied.
For more information regarding to PPM, check out the compilation hub.
- Parameters
fn (QNode) – QNode to apply the pass to
- Returns
~.QNode
Example
In this example, the Clifford+T gates will be converted into PPRs first, then the Clifford PPRs will be commuted past the non-Clifford PPR, and finally the Clifford PPRs will be absorbed into the Pauli Product Measurements.
import pennylane as qml from catalyst import qjit, measure ppm_passes = [("PPM",["to_ppr", "commute_ppr","ppr_to_ppm",])] @qjit(pipelines=ppm_passes, keep_intermediate=True, target="mlir") @qml.qnode(qml.device("lightning.qubit", wires=1)) def circuit(): qml.H(0) qml.T(0) return measure(0) print(circuit.mlir_opt)
Example MLIR Representation:
. . . %2 = qec.ppr ["X"](8) %1 : !quantum.bit %mres, %out_qubits = qec.ppm ["X"] %2 : !quantum.bit . . .
code/api/catalyst.passes.ppr_to_ppm
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