This package is a wrapper around Stim that aims to help the construction of QEC-code circuits easier. The package implements model classes that help with inserting ciruit-level noise models. It uses a code layout that helps with qubit labeling, indexing and connectivity. Finally, there are a number of circuits for the rotated surface code that are implemented in the package.
For more information see the documentation in docs/
.
This package is available in PyPI, thus it can be installed using
pip install surface-sim
or alternatively, it can be installed from source using
git clone git@github.com:MarcSerraPeralta/surface-sim.git
pip install surface-sim/
from surface_sim.layouts import rot_surface_code
from surface_sim.models import CircuitNoiseModel
from surface_sim.setup import CircuitNoiseSetup
from surface_sim import Detectors
from surface_sim.experiments.rot_surface_code_css import memory_experiment
# prepare the layout, model, and detectors objects
layout = rot_surface_code(distance=3)
qubit_inds = layout.qubit_inds()
anc_qubits = layout.get_qubits(role="anc")
data_qubits = layout.get_qubits(role="data")
setup = CircuitNoiseSetup()
model = CircuitNoiseModel(setup, qubit_inds)
detectors = Detectors(anc_qubits, frame="1")
# create a memory experiment
NUM_ROUNDS = 10
DATA_INIT = {q: 0 for q in data_qubits}
ROT_BASIS = True # X basis
MEAS_RESET = True # reset after ancilla measurements
PROB = 1e-5
setup.set_var_param("prob", PROB)
stim_circuit = memory_experiment(model, layout, detectors, NUM_ROUNDS, DATA_INIT, ROT_BASIS, MEAS_RESET)
For more information and examples about surface-sim
, please read the docs/
.