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@cuda-quantum-bot cuda-quantum-bot released this 19 Nov 10:45
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With 0.5.0 we have added support for quantum kernel execution on OQC and IQM backends. For more information, see our docs. CUDA Quantum now allows to executing adaptive quantum kernels on quantum hardware backends that support it. The 0.5.0 release furthermore improves the tensor network simulation tools and adds a matrix product state simulator.

Additionally, we are now publishing images for experimental features, which currently includes improved Python language support. Please take a look at our installation guide for more information about how to obtain them.

What's Changed

Features and Enhancements 🎉

  • Support for submission to OQC backends by @jfriel-oqc in #435
  • Support for submission to IQM backends by @kukushechkin in #468
  • Add more support for std::vector and (C style) arrays. by @schweitzpgi in #714
  • Optimized support for applying exponentials of Paulis by @amccaskey in #660
  • Additional kernels for chemistry applications by @1tnguyen in #731
  • Support for adaptive quantum kernels on (certain) quantum hardware backends by @bmhowe23 in #741
  • Adding photonics execution manager by @Omar-ORCA in #515
  • Delay measurements if necessary when targeting quantum hardware backends by @bmhowe23 in #761
  • Enable while loop normalization and unrolling by @schweitzpgi in #830
  • Support ranged for-loops when targeting quantum hardware backends by @schweitzpgi in #833
  • Enable deployments for experimental branches by @bettinaheim in #880
  • Open-source tensornet simulator and add tensornet-mps simulator backend by @1tnguyen in #863

Bug Fixes 🐛

Breaking Changes 🛠

Documentation Updates ✏️

Other Changes

New Contributors

Full Changelog: 0.4.1...0.5.0
Release created by workflow 6915068190.