We provide the first tensor-network method for computing quantum weight enumerator
polynomials in the most general form. If a quantum code has a known tensor-network …

In this paper, we introduce an algorithm for extracting topological data from translation
invariant generalized Pauli stabilizer codes in two-dimensional systems, focusing on the …

Tensor network codes enable structured construction and manipulation of stabilizer codes
out of small seed codes. Here, we apply reinforcement learning (RL) to tensor network code …

Artificial intelligence (AI) advancements over the past few years have had an unprecedented
and revolutionary impact across everyday application areas. Its significance also extends to …

Noise on quantum devices is much more complex than it is commonly given credit. Far from
usual models of decoherence, nearly all quantum devices are plagued both by a continuum …

Quantum error correction and the use of quantum error correction codes is likely to be
essential for the realisation of practical quantum computing. Because the error models of …

We examine the use of weight enumerators for analyzing tensor network constructions, and
specifically the quantum lego framework recently introduced. We extend the notion of …

Reliable quantum computation requires systematic identification and correction of errors that
occur and accumulate in quantum hardware. To diagnose and correct such errors, standard …

Hypergraph products are quantum low-density parity-check (LDPC) codes constructed from
two classical LDPC codes. Although their dimension and distance depend only on the …

We develop genetic algorithms for searching quantum circuits, in particular stabilizer
quantum error correction codes. Quantum codes equivalent to notable examples such as the …