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yangliwei
2024-02-07 17:51:44 +08:00
parent c6d61e64f7
commit c7ec0f40da
1 changed files with 20 additions and 17 deletions
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37
src/qibotn/backends/cpu.py
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@@ -5,7 +5,7 @@ from qibo.states import CircuitResult
from qibo.config import raise_error from qibo.config import raise_error
class QuTensorNet(NumpyBackend): class QuTensorNet(NumpyBackend):
def __init__(self, runcard): def __init__(self, runcard):
super().__init__() super().__init__()
@@ -16,7 +16,6 @@ class QuTensorNet(NumpyBackend):
self.NCCL_enabled = runcard.get("NCCL_enabled", False) self.NCCL_enabled = runcard.get("NCCL_enabled", False)
self.expectation_enabled_value = runcard.get("expectation_enabled", False) self.expectation_enabled_value = runcard.get("expectation_enabled", False)
mps_enabled_value = runcard.get("MPS_enabled") mps_enabled_value = runcard.get("MPS_enabled")
if mps_enabled_value is True: if mps_enabled_value is True:
self.MPS_enabled = True self.MPS_enabled = True
@@ -35,7 +34,6 @@ class QuTensorNet(NumpyBackend):
self.quimb = quimb self.quimb = quimb
self.platform = "qutensornet" self.platform = "qutensornet"
self.versions["quimb"] = self.quimb.__version__ self.versions["quimb"] = self.quimb.__version__
def apply_gate(self, gate, state, nqubits): # pragma: no cover def apply_gate(self, gate, state, nqubits): # pragma: no cover
raise_error(NotImplementedError, "QiboTN cannot apply gates directly.") raise_error(NotImplementedError, "QiboTN cannot apply gates directly.")
@@ -46,13 +44,10 @@ class QuTensorNet(NumpyBackend):
def assign_measurements(self, measurement_map, circuit_result): def assign_measurements(self, measurement_map, circuit_result):
raise_error(NotImplementedError, "Not implemented in QiboTN.") raise_error(NotImplementedError, "Not implemented in QiboTN.")
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)
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
@@ -77,7 +72,9 @@ class QuTensorNet(NumpyBackend):
and self.expectation_enabled == False and self.expectation_enabled == False
): ):
state = eval.dense_vector_tn_qu(circuit, init_state, is_mps=False, backend="numpy") state = eval.dense_vector_tn_qu(
circuit, init_state, is_mps=False, backend="numpy"
)
elif ( elif (
self.MPI_enabled == False self.MPI_enabled == False
@@ -85,9 +82,10 @@ class QuTensorNet(NumpyBackend):
and self.NCCL_enabled == False and self.NCCL_enabled == False
and self.expectation_enabled == False and self.expectation_enabled == False
): ):
state = eval.dense_vector_tn_qu(circuit, init_state, is_mps=True, backend="numpy") state = eval.dense_vector_tn_qu(
circuit, init_state, is_mps=True, backend="numpy"
)
elif ( elif (
self.MPI_enabled == True self.MPI_enabled == True
@@ -95,19 +93,19 @@ class QuTensorNet(NumpyBackend):
and self.NCCL_enabled == False and self.NCCL_enabled == False
and self.expectation_enabled == False and self.expectation_enabled == False
): ):
raise_error(NotImplementedError, "QiboTN quimb backend cannot support MPI.") raise_error(NotImplementedError, "QiboTN quimb backend cannot support MPI.")
elif ( elif (
self.MPI_enabled == False self.MPI_enabled == False
and self.MPS_enabled == False and self.MPS_enabled == False
and self.NCCL_enabled == True and self.NCCL_enabled == True
and self.expectation_enabled == False and self.expectation_enabled == False
): ):
raise_error(NotImplementedError, "QiboTN quimb backend cannot support NCCL.")
raise_error(
NotImplementedError, "QiboTN quimb backend cannot support NCCL."
)
elif ( elif (
self.MPI_enabled == False self.MPI_enabled == False
@@ -115,9 +113,10 @@ class QuTensorNet(NumpyBackend):
and self.NCCL_enabled == False and self.NCCL_enabled == False
and self.expectation_enabled == True and self.expectation_enabled == True
): ):
raise_error(NotImplementedError, "QiboTN quimb backend cannot support expectation")
raise_error(
NotImplementedError, "QiboTN quimb backend cannot support expectation"
)
elif ( elif (
self.MPI_enabled == True self.MPI_enabled == True
@@ -125,7 +124,9 @@ class QuTensorNet(NumpyBackend):
and self.NCCL_enabled == False and self.NCCL_enabled == False
and self.expectation_enabled == True and self.expectation_enabled == True
): ):
raise_error(NotImplementedError, "QiboTN quimb backend cannot support expectation") raise_error(
NotImplementedError, "QiboTN quimb backend cannot support expectation"
)
elif ( elif (
self.MPI_enabled == False self.MPI_enabled == False
@@ -133,7 +134,9 @@ class QuTensorNet(NumpyBackend):
and self.NCCL_enabled == True and self.NCCL_enabled == True
and self.expectation_enabled == True and self.expectation_enabled == True
): ):
raise_error(NotImplementedError, "QiboTN quimb backend cannot support expectation") raise_error(
NotImplementedError, "QiboTN quimb backend cannot support expectation"
)
else: else:
raise_error(NotImplementedError, "Compute type not supported.") raise_error(NotImplementedError, "Compute type not supported.")