Pradnya Khalate
Pradnya Khalate
### Description First step for supporting Unitary Synthesis (Ref: Issue https://github.com/NVIDIA/cuda-quantum/issues/1475) Given an arbitrary unitary matrix, allow it to be used as a custom quantum operation. This PR covers the...
* Expose the ORCA-specific APIs to Python front-end - [ ] Documentation - [ ] Mock server implementation for testing (CI failure)
### Describe the feature #### Problem Given a user provided arbitrary quantum unitary, synthesize it into a sequence of quantum gates. #### Expectations - User provides an arbitrary unitary matrix...
Run the Python MLIR tests enabled in [PR#1405](https://github.com/NVIDIA/cuda-quantum/pull/1405) while building from source in the 'assets' dockerfile.
* Python version 3.8 will be EOLed by October 2024. See: https://peps.python.org/pep-0569/ * CUDA-Q to drop support for Python3.8 after that * Fix all occurrences of `[PYTHON_VERSION_FIX]` in the code...
### Required prerequisites - [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues. ### Describe the feature CUDA-Q should support...
### Description Towards https://github.com/NVIDIA/cuda-quantum/issues/1937 * Prototype the requirements for photonics simulator support * Set execution manager * Infer the handler based on target
### Required prerequisites - [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues. ### Describe the feature * Add support...
During the development of PR https://github.com/NVIDIA/cuda-quantum/pull/1993/, it was noticed that appending a test in `python/tests/kernel/test_kernel_features.py` caused CI to crash on `python/tests/remote/test_remote_platform.py::test_observe` only in Python3.8, Fedora, x86 environment. Sample pipeline -...
When running a program in builder, mode, such as - ``` import cudaq kernel = cudaq.make_kernel() qubits = kernel.qalloc(2) kernel.h(qubits[0]) kernel.cx(qubits[0], qubits[1]) counts = cudaq.sample(kernel) counts.dump() ``` the program runs...