cuda-quantum

This release adds support for CUDA 13 and Python 3.13 and removes support for CUDA 11 and Python 3.10. It adds support for using the CUDA-Q QEC libraries for real-time decoding on Quantinuum backends, and adds support for submission to QCI backends. Check out the release notes below to learn about additional new content.

This release contains a range of new features and performance improvements for the dynamics simulation and adds more tools for error correction applications. It introduces new CUDA-Q API for kernels that return values (run), and adds support for connecting to Quantum Machines backends. This release also contains a contributions from UnitaryHack. With this release, we now include support for Pyth...

This release contains a range of ergonomic improvements and documentation updates. It adds support for initializing qubits to have a given state for quantum hardware backends and exposes a range of new configurations for different simulator backends. This release also addresses some performance issues with the initial introduction of a general operator framework in CUDA-Q. This required some break...

In this release we have added a range of tools for simulating noisy quantum systems. It includes support for trajectory based noise simulation for our GPU-accelerated statevector and tensor network simulators, and a new sampling option for better stim performance. We have also expanded the range of noise models, and added an apply_noise "gate". This release also adds the C++ support for the CU...

This release adds support for using Amazon Braket and Infeqtion's Superstaq as backends. Starting with this release, all C++ quantum kernels will be processed by the nvq++ compiler regardless of whether they run on a si...