surface_sim.setups.NLR

class NLR

__init__()

Initialises a Setup class for the NLR noise described in:

Beni, L. A., Higgott, O., & Shutty, N. (2025). Tesseract: A search-based decoder for quantum error correction. arXiv preprint arXiv:2503.10988.

IMPORTANT

1. It should be loaded with the NLRNoiseModel model. It should not be loaded with CircuitNoiseModel because the noise model stacks noise channels for qubits that are not being measured on top of their respective noise gate channels (e.g. idling).

2. See other assumptions done in the SI1000 setup.

3. It contains three variable parameters that must be set before building any circuit: "prob", "long_coupler_distance", and "long_coupler_error_prob_factor". A coupler is considered long if the distance between the two qubits involved in the two-qubit gate is strictly larger than the specified long_coupler_distance. For the long-range couplers, the noise strength is long_coupler_error_prob_factor times larger than standard two-qubit gates. In this sense, the NLR5 noise model corresponds to long_coupler_error_prob_factor = 5.

Methods

Attributes

__init__()

Initialises a Setup class for the NLR noise described in: