Introduction#

This package is a wrapper around Stim to simplify the construction of QEC circuits. Given a circuit, it can implement the logical equivalent under different types of noise, including circuit-level noise. It uses a code layout that helps with qubit labeling, indexing and connectivity. It also defines the detectors automatically for any sequence of logical gates.

Installation#

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/

Example#

Pre-built experiment: memory experiment

from surface_sim.layouts import rot_surface_code
from surface_sim.models import CircuitNoiseModel
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)
model = CircuitNoiseModel(layout.qubit_inds)
detectors = Detectors.from_layouts(layout)

# create a memory experiment
NUM_ROUNDS = 10
DATA_INIT = {q: 0 for q in layout.data_qubits}
ROT_BASIS = True  # X basis
MEAS_RESET = True  # reset after ancilla measurements
PROB = 1e-5

model.setup.set_var_param("prob", PROB)
stim_circuit = memory_experiment(
    model,
    layout,
    detectors,
    num_rounds=NUM_ROUNDS,
    data_init=DATA_INIT,
    rot_basis=ROT_BASIS,
    anc_reset=MEAS_RESET,
)

Arbitrary logical circuit from a given circuit

import stim

from surface_sim.models import CircuitNoiseModel
from surface_sim import Detectors
from surface_sim.experiments import experiment_from_circuit
from surface_sim.circuit_blocks.unrot_surface_code_css import gate_to_iterator
from surface_sim.layouts import unrot_surface_codes

circuit = stim.Circuit(
    """
    R 0 1
    TICK
    CNOT 0 1
    TICK
    S 0
    I 1
    TICK
    S 0
    H 1
    TICK
    M 0
    MX 1
    OBSERVABLE_INCLUDE(0) rec[-1] rec[-2]
    """
)

layouts = unrot_surface_codes(circuit.num_qubits, distance=3)
model = CircuitNoiseModel.from_layouts(*layouts)
detectors = Detectors.from_layouts(*layouts, frame="pre-gate")

model.setup.set_var_param("prob", 1e-3)

experiment = experiment_from_circuit(
    circuit, layouts, model, detectors, gate_to_iterator, anc_reset=True
)