def load_data(self, filename=None):
filename = self.filename if filename is None else filename
data = np.load(filename)
self.d = int(data["d"])
self.T = int(data["T"])
self.decoder = GraphDecoder(d=self.d, T=self.T)
# self.readout_circuit =
self.benchmark_data["noise"] = data["noise"]
self.benchmark_data["logical_error_rate"] = data["logical_error_rate"]
return noise_model
decoder_keys = [(d, 1) for d in range(3, 11, 2)]
benchmarking_tools = []
for decoder_key in tqdm(decoder_keys):
d = decoder_key[0]
T = decoder_key[1]
qubit = SurfaceCodeLogicalQubit(d)
qubit.stabilize()
qubit.stabilize()
qubit.readout_z()
benchmarking_tools.append(
SurfaceCodeBenchmarkingTool(
decoder=GraphDecoder(d=d, T=T),
readout_circuit=qubit,
noise_model_func=get_noise_model,
))
print("\nDONE SETTING UP DECODERS!\n")
def simulate(index):
correct_logical_value = 0
noise_values = [
5e-5,
1e-4,
2e-4,
5e-4,
1e-3,
2e-3,
noise_model.add_all_qubit_quantum_error(
error_gate1,
["u1", "u2", "u3"]) # single qubit gate error is applied to x gates
noise_model.add_all_qubit_quantum_error(
error_gate2, ["cx"]) # two qubit gate error is applied to cx gates
return noise_model
decoder_keys = [(d, 1) for d in range(3, 13, 2)]
benchmarking_tools = []
for decoder_key in tqdm(decoder_keys):
benchmarking_tools.append(
SurfaceCodeBenchmarkingTool(
decoder=GraphDecoder(d=decoder_key[0], T=decoder_key[1]),
readout_circuit=logical_zero.copy(),
noise_model_func=get_noise_model,
))
def simulate(index):
correct_logical_value = 0
noise_values = [
5e-5,
1e-4,
2e-4,
5e-4,
1e-3,
2e-3,
4e-3,