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feat: integrating qmatchatea SimulationResult in the circuit execution

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MatteoRobbiati
2025-01-27 13:04:32 +01:00
parent 508d5cd5e9 80bfc7e876
commit 429e15db5e
4 changed files with 8 additions and 14 deletions
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6
src/qibotn/backends/__init__.py
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@@ -2,10 +2,10 @@ from typing import Union
from qibo.config import raise_error from qibo.config import raise_error
from qibotn.backends.cutensornet import CuTensorNet # pylint: disable=E0401
from qibotn.backends.quimb import QuimbBackend # pylint: disable=E0401
from qibotn.backends.qmatchatea import QMatchaTeaBackend # pylint: disable=E0401
from qibotn.backends.abstract import QibotnBackend from qibotn.backends.abstract import QibotnBackend
from qibotn.backends.cutensornet import CuTensorNet # pylint: disable=E0401
from qibotn.backends.qmatchatea import QMatchaTeaBackend # pylint: disable=E0401
from qibotn.backends.quimb import QuimbBackend # pylint: disable=E0401
QibotnBackend = Union[CuTensorNet, QuimbBackend, QMatchaTeaBackend] QibotnBackend = Union[CuTensorNet, QuimbBackend, QMatchaTeaBackend]

13
src/qibotn/backends/abstract.py
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@@ -1,11 +1,11 @@
from abc import abstractmethod from abc import abstractmethod
from qibo.backends.numpy import NumpyBackend from qibo.backends.numpy import NumpyBackend
from qibo.config import raise_error from qibo.config import raise_error
DEFAULT_CONFIGURATION = { DEFAULT_CONFIGURATION = {
"MPI_enabled": False, # TODO: cutensornet specific, TBRemoved "MPI_enabled": False, # TODO: cutensornet specific, TBRemoved
"NCCL_enabled": False, # TODO: cutensornet specific, TBRemoved "NCCL_enabled": False, # TODO: cutensornet specific, TBRemoved
"expectation_enabled": False, "expectation_enabled": False,
"pauli_string_pattern": None, "pauli_string_pattern": None,
"MPS_enabled": False, "MPS_enabled": False,
@@ -14,10 +14,9 @@ DEFAULT_CONFIGURATION = {
} }
class QibotnBackend(NumpyBackend): class QibotnBackend(NumpyBackend):
def __init__(self, runcard:dict = DEFAULT_CONFIGURATION): def __init__(self, runcard: dict = DEFAULT_CONFIGURATION):
super().__init__() super().__init__()
def apply_gate(self, gate, state, nqubits): # pragma: no cover def apply_gate(self, gate, state, nqubits): # pragma: no cover
@@ -32,10 +31,8 @@ class QibotnBackend(NumpyBackend):
def set_precision(self, precision): def set_precision(self, precision):
if precision != self.precision: if precision != self.precision:
super().set_precision(precision) super().set_precision(precision)
@abstractmethod @abstractmethod
def configure_tn_simulation(self, **config): def configure_tn_simulation(self, **config):
"""Configure the TN simulation that will be performed.""" """Configure the TN simulation that will be performed."""
pass pass

1
src/qibotn/backends/cutensornet.py
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@@ -82,7 +82,6 @@ class CuTensorNet(QibotnBackend): # pragma: no cover
if hasattr(self, "cutn"): if hasattr(self, "cutn"):
self.cutn.destroy(self.handle) self.cutn.destroy(self.handle)
def cuda_type(self, dtype="complex64"): def cuda_type(self, dtype="complex64"):
"""Get CUDA Type. """Get CUDA Type.

2
src/qibotn/backends/quimb.py
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@@ -1,4 +1,3 @@
from qibo.backends.numpy import NumpyBackend
from qibo.config import raise_error from qibo.config import raise_error
from qibo.result import QuantumState from qibo.result import QuantumState
@@ -38,7 +37,6 @@ class QuimbBackend(QibotnBackend):
self.platform = "QuimbBackend" self.platform = "QuimbBackend"
self.versions["quimb"] = self.quimb.__version__ self.versions["quimb"] = self.quimb.__version__
def execute_circuit( def execute_circuit(
self, circuit, initial_state=None, nshots=None, return_array=False self, circuit, initial_state=None, nshots=None, return_array=False
): # pragma: no cover ): # pragma: no cover