Release Notes

v0.1.0

Note

This is a preview release. The version number shown is a pre-release identifier and may change upon final release. Content in this preview is for reference only and does not constitute a commitment or warranty for the final product.

• Added features

  • Initial release of FlagQuantum, a high-performance distributed quantum statevector simulator built on PyTorch.

  • Distributed statevector simulation using DTensor from torch.distributed for multi-GPU execution.

  • Automatic resharding to minimize communication overhead during gate operations.

  • Comprehensive gate set including Pauli, Clifford, rotation, and controlled gates with parameterized support.

  • Invertible backpropagation for memory-efficient gradient computation.

  • Custom gate registration system for extending the library.

  • Post-selection and noise models including depolarizing noise.

  • Flexible data encoding with angle, amplitude, and basis encoding schemes.

  • Professional quantum circuit visualization capabilities.

  • OpenQASM 2.0/3.0 exporter for real quantum hardware and cross-framework execution.