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schweitzpgi authored Dec 18, 2024
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Expand Up @@ -12,6 +12,27 @@ and is also available as a Docker image. More information about installing the n
- `Documentation <https://nvidia.github.io/cuda-quantum/latest>`__
- `Examples <https://github.com/NVIDIA/cuda-quantum/tree/main/docs/sphinx/examples>`__

**0.9.1**

This release adds support for using
`Amazon Braket <https://nvidia.github.io/cuda-quantum/0.9.1/using/backends/hardware.html#amazon-braket>`__ and
`Infeqtion's Superstaq <https://nvidia.github.io/cuda-quantum/0.9.1/using/backends/hardware.html#infleqtion>`__ as backends.

Starting with this release, all C++ quantum kernels will be processed by the `nvq++` compiler regardless of whether
they run on a simulator or on a quantum hardware backend. This change is largely non-breaking, but language constructs
that are not officially supported within quantum kernels will now lead to a compilation error whereas previously they
could be used when executing on a simulator only. The previous behavior can be forced by passing the `--library-mode`
flag to the compiler. Please note that if you do so, however, the code will never be executable outside of a simulator
and may not be supported even on simulators.

- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum>`__
- `Python wheel <https://pypi.org/project/cudaq/0.9.1>`__
- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases/0.9.1>`__
- `Documentation <https://nvidia.github.io/cuda-quantum/0.9.1>`__
- `Examples <https://github.com/NVIDIA/cuda-quantum/tree/releases/v0.9.1/docs/sphinx/examples>`__

The full change log can be found `here <https://github.com/NVIDIA/cuda-quantum/releases/0.9.1>`__.

**0.9.0**

We are very excited to share a new toolset added for modeling and manipulating the dynamics of physical systems.
Expand All @@ -21,12 +42,12 @@ The 0.9.0 release furthermore includes a range of contribution to add new backen
from `Anyon Technologies <https://nvidia.github.io/cuda-quantum/0.9.0/using/backends/hardware.html#anyon-technologies-anyon-computing>`__,
`Ferimioniq <https://nvidia.github.io/cuda-quantum/0.9.0/using/backends/simulators.html#fermioniq>`__, and
`QuEra Computing <https://nvidia.github.io/cuda-quantum/0.9.0/using/backends/hardware.html#quera-computing>`__,
as well as updates to existing backends from `ORCA <https://nvidia.github.io/cuda-quantum/latest/using/backends/hardware.html#orca-computing>`__
as well as updates to existing backends from `ORCA <https://nvidia.github.io/cuda-quantum/0.9.0/using/backends/hardware.html#orca-computing>`__
and `OQC <https://nvidia.github.io/cuda-quantum/0.9.0/using/backends/hardware.html#oqc>`__.
We hope you enjoy the new features - also check out our new notebooks and examples to dive into CUDA-Q.

- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum>`__
- `Python wheel <https://pypi.org/project/cuda-quantum/0.9.0>`__
- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum/tags>`__
- `Python wheel <https://pypi.org/project/cudaq/0.9.0>`__
- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases/0.9.0>`__
- `Documentation <https://nvidia.github.io/cuda-quantum/0.9.0>`__
- `Examples <https://github.com/NVIDIA/cuda-quantum/tree/releases/v0.9.0/docs/sphinx/examples>`__
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