Source code for pytket.extensions.pennylane.pytket_device

# Copyright 2020-2024 Quantinuum
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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from typing import cast, Any, Dict, Iterable, List, Optional, Union

import numpy as np
from pennylane import QubitDevice  # type: ignore
from pennylane.operation import Operation  # type: ignore
from pytket.backends.backend import Backend
from pytket.backends.backendresult import BackendResult
from pytket.passes import BasePass

from pytket.extensions.qiskit import AerStateBackend
from pytket.extensions.pennylane import __extension_version__
from pytket.circuit import OpType, Circuit

from .pennylane_convert import (
    OPERATION_MAP,
    pennylane_to_tk,
)


[docs] class PytketDevice(QubitDevice): """PytketDevice allows pytket backends and compilation to be used as Pennylane devices.""" name = "pytket-pennylane plugin" short_name = "pytket.pytketdevice" pennylane_requires = ">=0.35.0" version = "0.15.0" plugin_version = __extension_version__ author = "KN" _operation_map = OPERATION_MAP operations = set(_operation_map.keys()) observables = {"PauliX", "PauliY", "PauliZ", "Identity", "Hadamard", "Prod"}
[docs] def __init__( self, wires: int, shots: Optional[int] = None, pytket_backend: Backend = AerStateBackend(), optimisation_level: Optional[int] = None, compilation_pass: Optional[BasePass] = None, ): """Construct a device that use a Pytket Backend and compilation to execute circuits. :param wires: Number of wires :type wires: int :param shots: Number of shots to use (only relevant for sampling backends), defaults to None :type shots: Optional[int], optional :param pytket_backend: Pytket Backend class to use, defaults to AerStateBackend() to facilitate automated pennylane testing of this backend :type pytket_backend: Backend, optional :param optimisation_level: Backend default compilation optimisation level, ignored if `compilation_pass` is set, defaults to None :type optimisation_level: int, optional :param compilation_pass: Pytket compiler pass with which to compile circuits, defaults to None :type compilation_pass: Optional[BasePass], optional :raises ValueError: If the Backend does not support shots or state results """ if not (pytket_backend.supports_shots or pytket_backend.supports_state): raise ValueError("pytket Backend must support shots or state.") self.pytket_backend = pytket_backend if compilation_pass is None: if optimisation_level is None: self.compilation_pass = self.pytket_backend.default_compilation_pass() else: self.compilation_pass = self.pytket_backend.default_compilation_pass( optimisation_level ) else: self.compilation_pass = compilation_pass super().__init__(wires=wires, shots=shots)
[docs] def capabilities(self) -> Dict[str, Any]: cap_dic: Dict[str, Any] = super().capabilities().copy() cap_dic.update( { "supports_finite_shots": self.pytket_backend.supports_shots, "returns_state": self.pytket_backend.supports_state, "supports_inverse_operations": True, } ) return cap_dic
[docs] def reset(self) -> None: # Reset only internal data, not the options that are determined on # device creation self._circuit = Circuit(name="temp") self._reg = self._circuit.add_q_register("q", self.num_wires) self._creg = self._circuit.add_c_register("c", self.num_wires) self._backres: Optional[BackendResult] = None self._state: Optional[np.ndarray] = None # statevector of a simulator backend self._samples: Optional[np.ndarray] = None super().reset()
[docs] def apply( self, operations: List[Operation], rotations: Optional[List[Operation]] = None ) -> None: self._circuit = pennylane_to_tk( operations if rotations is None else operations + rotations, self._wire_map, self._reg, self._creg, measure=(not self.pytket_backend.supports_state), ) # These operations need to run for all devices compiled_c = self.compile(self._circuit) self.run(compiled_c)
def compile(self, circuit: Circuit) -> Circuit: compile_c = circuit.copy() self.compilation_pass.apply(compile_c) return compile_c
[docs] def run(self, compiled_c: Circuit) -> None: """Run the compiled circuit, and query the result.""" shots = None if self.pytket_backend.supports_shots: shots = self.shots if compiled_c.n_gates_of_type(OpType.Measure) == 0: compiled_c.measure_all() handle = self.pytket_backend.process_circuit(compiled_c, n_shots=shots) self._backres = self.pytket_backend.get_result(handle)
[docs] def analytic_probability( self, wires: Optional[Union[int, Iterable[int]]] = None ) -> np.ndarray: prob = self.marginal_prob(np.abs(self.state) ** 2, wires) return cast(np.ndarray, prob)
[docs] def generate_samples(self) -> np.ndarray: if self.pytket_backend.supports_shots: if self._backres is None: raise RuntimeError("Result does not exist.") self._samples = np.asarray( self._backres.get_shots(self._creg.to_list()), dtype=int ) return self._samples else: return cast(np.ndarray, super().generate_samples())
@property def state(self) -> np.ndarray: if self.pytket_backend.supports_state: if self._state is None: if self._backres is None: raise RuntimeError("Result does not exist.") self._state = self._backres.get_state(self._reg.to_list()) return self._state raise AttributeError("Device does not support state.")