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 breaking changes. We refer to the descriptions in the listed PRs for further details.

What's Changed

Features and Enhancements 🎉

• State synthesis for quantum devices by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2291
• Support single-precision for tensornet backends by @1tnguyen in https://github.com/NVIDIA/cuda-quantum/pull/2820

Bug Fixes 🐛

• Some fixes for complex numbers and vectors by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2739
• Fix crashes when using captured vectors and states not supported in synthesis by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2780
• Fixing sample_async for dynamic kernels by @1tnguyen in https://github.com/NVIDIA/cuda-quantum/pull/2800
• Fixing performance of the Python operator bindings by @bettinaheim in https://github.com/NVIDIA/cuda-quantum/pull/2906

Breaking Changes 🛠

• Replacing existing spin_ops with the general operators by @bettinaheim in https://github.com/NVIDIA/cuda-quantum/pull/2710
• Migrating the Python operators to be C++ bindings by @bettinaheim in https://github.com/NVIDIA/cuda-quantum/pull/2817

Documentation Updates ✏️

• Documentation for cpp dynamics by @sacpis in https://github.com/NVIDIA/cuda-quantum/pull/2735
• New tutorial: quantum edge detection by @marwafar in https://github.com/NVIDIA/cuda-quantum/pull/2711
• New tutorial: Adapt vqe algorithm by @marwafar in https://github.com/NVIDIA/cuda-quantum/pull/2709
• New tutorial: generating the electronic hamiltonian by @marwafar in https://github.com/NVIDIA/cuda-quantum/pull/2832
• Update adapt-qaoa tutorial by @marwafar in https://github.com/NVIDIA/cuda-quantum/pull/2837
• Enabling afqmc notebook by freezing numba to 0.60.0 by @sacpis in https://github.com/NVIDIA/cuda-quantum/pull/2759
• Update mgpu sha and docs by @1tnguyen in https://github.com/NVIDIA/cuda-quantum/pull/2774
• Update tensornet backend docs and expose MPS Gauge option (cuquantum 25.03 feature) by @1tnguyen in https://github.com/NVIDIA/cuda-quantum/pull/2845
• Add docs for apply_noise by @bmhowe23 in https://github.com/NVIDIA/cuda-quantum/pull/2745
• CUDA-Q Docs Applications Section Reorg by @mawolf2023 in https://github.com/NVIDIA/cuda-quantum/pull/2609
• CUDA-Q Academic page/ Dynamics examples by @mawolf2023 in https://github.com/NVIDIA/cuda-quantum/pull/2802

Other Changes

• Make synthesis transitive by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2644
• Add a basic SROA pass. by @schweitzpgi in https://github.com/NVIDIA/cuda-quantum/pull/2712
• Allow setting scratch size for tensornet backends by @1tnguyen in https://github.com/NVIDIA/cuda-quantum/pull/2754
• New launch kernel for python by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2706
• State synthesis for c-like function kernels by @annagrin in https://github.com/NVIDIA/cuda-quantum/pull/2763
• Add some simple quantum optimizations by @schweitzpgi in https://github.com/NVIDIA/cuda-quantum/pull/2783
• Efficient matrix evaluation for bosons and fermions by @bettinaheim in https://github.com/NVIDIA/cuda-quantum/pull/2764

Full Changelog: https://github.com/NVIDIA/cuda-quantum/compare/0.10.0...0.11.0 Release created by workflow 15007041437. Patch for the installer built by workflow 15055126556