Release Notes

cuStabilizer v0.4.0

• New functionalities:

  • Added the cuStabilizer-JAX extension (cuquantum.stabilizer.jax), exposing selected cuStabilizer kernels as JAX FFI primitives. The initial release provides matmul_gf2_spdn(), a JAX interface to custabilizerGF2SparseDenseMatrixMultiply() that allows the GF(2) sparse-dense matrix multiply to participate in jax.jit / jax.vmap graphs.

Compatibility notes:

• Starting with the next release, Fedora 42 and KylinOS V10 will no longer be supported. The minimum supported versions will be Fedora 44 and KylinOS V11.

cuStabilizer v0.3.0

• Added GPU-accelerated Detector Error Model (DEM) sampling for generating detection events from quantum error correction circuits without full circuit simulation.

• New C API functions for Bernoulli sampling and GF(2) matrix multiplication:

  • custabilizerSampleProbArray() – dense bit-packed Bernoulli sampling.

  • custabilizerSampleProbArraySparsePrepare() / custabilizerSampleProbArraySparseCompute() – sparse Bernoulli sampling into CSR format with a prepare/compute workflow.

  • custabilizerGF2SparseDenseMatrixMultiply() – GF(2) sparse × dense matrix multiplication.

  • custabilizerGF2SparseSparseMatrixMultiply() – GF(2) sparse × sparse matrix multiplication.

• New status code CUSTABILIZER_STATUS_INSUFFICIENT_SPARSE_STORAGE returned when sparse output capacity is exceeded.

• FrameSimulator now randomizes the initial Z frame with Bernoulli(0.5) samples when randomize_measurements=True and no input tables are provided.

Known Issues

• cupy is now required to import cuquantum.stabilizer. In v0.2.0, the module could be used with numpy-only workflows. This will be addressed in a future release.

• DEM sampling classes (DEMSampler, BitMatrixSparseSampler) accept only numpy and cupy arrays. torch.Tensor is not supported.

cuStabilizer v0.2.0

• Added shot masking instructions MASK_SET/MASK_XOR (aliases: SHOT_MASK_SET/SHOT_MASK_XOR) to enable or disable ranges of shots for subsequent circuit instructions. See Shot mask instructions for usage examples.

cuStabilizer v0.1.0

• The initial release of cuStabilizer. Supported features: Circuit conversion and Pauli frame simulation.