Sync 2026-workshops branch with main#129
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Removes CUDA-Q Academic container references since it is no longer needed. Also removed from documentation.
Replace q with reg in uccsd function
Clean up CUDA-Q Academic
added in functions missing from genQC version 0.2.5 that were required for the exercises
…es_diffusion.ipynb
Replace deprecated cudaq.vqe and cudaq.optimizers.COBYLA usage with the new cudaq_solvers.vqe API across all notebooks and Python scripts in the qaoa-for-max-cut module. Made-with: Cursor
…olvers Fix qaoa-for-max-cut: migrate VQE from cudaq.vqe to cudaq_solvers
…nquer QAOA script - Update Guide-to-cuda-q-backends.ipynb to use solvers.qaoa() and solvers.get_maxcut_hamiltonian() consistently throughout, fill in exercise solutions so the notebook runs end-to-end, and replace inline MPI execution with terminal instructions for the user. - Add qaoa-for-max-cut/qaoa-divide-and-conquer.py rewritten to use solvers.qaoa() and solvers.get_maxcut_hamiltonian() instead of manually constructed QAOA kernels, consistent with the notebook. The MPI divide-and-conquer structure is preserved. Made-with: Cursor
…vers Update Guide to Backends and add solvers-based divide-and-conquer QAOA script
… notebook Link backend targets (nvidia, qpp-cpu, mgpu, mqpu, remote-mqpu, tensornet), API commands (sample, observe, run, draw, sample_async), and libraries (cudaq-solvers, cuStateVec, MPI) to their official CUDA-Q documentation pages throughout the Guide-to-cuda-q-backends notebook. Made-with: Cursor
Add documentation links to Guide-to-cuda-q-backends notebook
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