Maximum Likelihood Decoder for Holographic Codes

We develop a maximum likelihood Pauli error decoding algorithm for stabilisers codes based on general purpose integer optimisation. Using this decoder we analyse the performance of holographic codes against Pauli errors and find numerical evidence for thresholds against Pauli errors. We compare the performance of holographic code families of various code rates and find phenomenological Pauli error thresholds ranging from 7% to 16%, depending on the code rate. Additionally we give numerical evidence that the distance of the codes we consider scales polynomially with number of physical qubits.