Active quantum error correction using qubit stabilizer codes has emerged as a promising,
but experimentally challenging, engineering program for building a universal quantum …

To use quantum systems for technological applications one first needs to preserve their
coherence for macroscopic time scales, even at finite temperature. Quantum error correction …

This article introduces PyMatching, a fast open-source Python package for decoding
quantum error-correcting codes with the minimum-weight perfect matching (MWPM) …

We construct families of Floquet codes derived from color-code tilings of closed hyperbolic
surfaces. These codes have weight-two check operators, a finite encoding rate and can be …

We present a quantum error correcting code with $\textit {dynamically generated logical
qubits} $. When viewed as a subsystem code, the code has no logical qubits. Nevertheless …

Abstract Recently, Hastings & Haah introduced a quantum memory defined on the
honeycomb lattice. Remarkably, this honeycomb code assembles weight-six parity checks …

Realizing the full potential of quantum computation requires quantum error correction (QEC),
with most recent breakthrough demonstrations of QEC using the surface code. QEC codes …

Stabilizer codes are the most widely studied class of quantum error-correcting codes and
form the basis of most proposals for a fault-tolerant quantum computer. A stabilizer code is …

The surface code is one of the most successful approaches to topological quantum error-
correction. It boasts the smallest known syndrome extraction circuits and correspondingly …

We introduce a technique that uses gauge fixing to significantly improve the quantum-error-
correcting performance of subsystem codes. By changing the order in which check operators …