Plaquette v2025.2 introduces a scalable simulation approach for near-Clifford quantum error-correcting circuits. It leverages Clifford decompositions and quasiprobability sampling to rapidly and accurately estimate logical error rates for hundreds of qubits under complex noise models. This enables efficient benchmarking and testing of next-generation fault-tolerant quantum devices.

Plaquette v2025.1 introduces enhanced customization for automatically generated circuits. It allows users to create QEC circuits using native hardware gates like CZ or CX, or both. The update also supports concurrent operations, including simultaneous measurements and parallel gates. Additionally, users can fully customize the gate sequence to optimize logical error rates.

Plaquette v2024.12 turbocharges MBQC cluster state simulations with 20x speed improvements and advanced error-correcting code generation. Easily simulate custom CSS-code-based cluster states, analyze noise resilience, and optimize architectures and quickly explore diverse MBQC applications with unmatched efficiency.

Plaquette v2024.11 introduces superconducting qubit simulations, enabling fault-tolerant quantum computing studies under realistic noise models including leakage. New qLDPC codes, decoders, and simplified gate error modeling enhance exploration of optimized quantum architectures across hardware platforms.

Plaquette v2024.10 significantly enhances fault-tolerant quantum computing simulations with dynamic circuits, customizable entangling gate orders, support for superconducting qubits, and an upgraded xpauli backend. 

Plaquette v2024.6 now supports the construction and simulation of quantum LDPC codes, offering an easy-to-use pipeline for the full simulation under the broadest variety of hardware error models.

Plaquette v2024.5 is now the first software tool that enables studying the impact of native imperfections that arise in quantum dots.