Source code for qilisdk.utils.trotterization.trotterization

# Copyright 2026 Qilimanjaro Quantum Tech
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from __future__ import annotations

from typing import Iterator, TypeAlias

from numpy import pi

from qilisdk.analog.hamiltonian import Hamiltonian, PauliOperator
from qilisdk.core.variables import Domain, Parameter, Term
from qilisdk.digital.gates import CNOT, RX, RZ, BasicGate, H

[docs] CommutingParts: TypeAlias = list[dict[tuple[PauliOperator, ...], complex | Term | Parameter]]
[docs] TimeParameter: TypeAlias = complex | Term | Parameter
[docs] GateIterator: TypeAlias = Iterator[BasicGate | CNOT]
def _pauli_evolution( term: tuple[PauliOperator, ...], coeff: complex | Term | Parameter, time: complex | Term | Parameter, ) -> Iterator[BasicGate | CNOT]: """ An iterator of parameterized gates performing the evolution of a given Pauli string. Args: term (tuple[PauliOperator, ...]): The Pauli string to evolve under. coeff (complex | Term | Parameter): The coefficient of the Pauli string. time (complex | Term | Parameter): The evolution time parameter (gamma or alpha). Yields: Iterator[BasicGate]: Gates implementing the evolution under the Pauli string. """ qubit_indices = [pauli.qubit for pauli in term if pauli.name != "I"] if len(qubit_indices) == 0: return # Move everything to Z basis for pauli in term: q = pauli.qubit name = pauli.name if name == "X": yield H(q) elif name == "Y": gate_val = pi / 2 yield RX(q, theta=Parameter("fixed_" + str(gate_val), gate_val, Domain.REAL, (gate_val, gate_val))) # Apply CNOT ladder for i in range(len(qubit_indices) - 1): yield CNOT(qubit_indices[i], qubit_indices[i + 1]) # Apply RZ rotation on last qubit last_qubit = qubit_indices[-1] if isinstance(coeff, complex): coeff = coeff.real if isinstance(time, complex): time = time.real yield RZ(last_qubit, phi=(2 * coeff * time)) # Undo CNOT ladder for i in reversed(range(len(qubit_indices) - 1)): yield CNOT(qubit_indices[i], qubit_indices[i + 1]) # Move back from Z basis for pauli in term: q = pauli.qubit name = pauli.name if name == "X": yield H(q) elif name == "Y": gate_val = -pi / 2 yield RX(q, theta=Parameter("fixed_" + str(gate_val), gate_val, Domain.REAL, (gate_val, gate_val)))
[docs] def trotter_evolution( hamiltonian: Hamiltonian, time: TimeParameter, trotter_steps: int, ) -> GateIterator: """ An iterator of parameterized gates performing Trotterized evolution of a commuting Hamiltonian part. Args: hamiltonian (Hamiltonian): Hamiltonian object to be trotterized. time (complex | Term | Parameter): The evolution time parameter. trotter_steps (int): Number of Trotter steps. Yields: Iterator[BasicGate]: Gates implementing the Trotterized evolution. """ commuting_parts = hamiltonian.get_commuting_partitions() yield from _commuting_trotter_evolution(commuting_parts=commuting_parts, time=time, trotter_steps=trotter_steps)
def _commuting_trotter_evolution( commuting_parts: CommutingParts, time: TimeParameter, trotter_steps: int, ) -> GateIterator: """ An iterator of parameterized gates performing Trotterized evolution of a commuting Hamiltonian part. Args: commuting_parts (CommutingParts): List of commuting Hamiltonian parts. time (TimeParameter): The evolution time parameter. trotter_steps (int): Number of Trotter steps. Yields: Iterator[BasicGate]: Gates implementing the Trotterized evolution. """ for _ in range(trotter_steps): for part in commuting_parts: for term, coeff in part.items(): for gate in _pauli_evolution(term, coeff / trotter_steps, time): yield gate