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@cuda-quantum-bot cuda-quantum-bot released this 18 Mar 21:55
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The 0.7.0 release adds support for using NVIDIA Quantum Cloud in the form of a new nvqc target, giving you access to our most powerful GPU-accelerated simulators even if you don't have an NVIDIA GPU.
With 0.7.0, we have furthermore greatly increased expressiveness of the Python and C++ language frontends. Check our our new Quick Start to get started with the new Python syntax support we have added, and follow our blog to learn more about the new setup and its performance benefits.

What's Changed

Features and Enhancements 🎉

Bug Fixes 🐛

  • Fix issue with argument checking on kernel_builder apply_call by @amccaskey in #1131
  • Don't throw fatal exception during 'import cudaq' if missing dependencies by @bmhowe23 in #1152
  • Fixes for the remote-mqpu platform by @1tnguyen in #1158
  • Fix incorrect warning for IonQ command line parameters by @bmhowe23 in #1173
  • Fix non-created custatevec handle edge case by @1tnguyen in #1160
  • Fix tensornet bug with async python functions by @amccaskey in #1177
  • Change __global__ register bit ordering for target mode to match library mode by @bmhowe23 in #1027
  • Fix issue with handling nested cudaq::adjoint by @boschmitt in #1217
  • Handle LLVM errors via C++ exceptions in the REST server implementation by @1tnguyen in #1263
  • Decode orca-url by @Omar-ORCA in #1270
  • Refresh remote seeds for executions within a client session by @1tnguyen in #1318
  • Miscellaneous bug fixes for argument and return values by @schweitzpgi in #1326

Breaking Changes 🛠

Documentation Updates ✏️

Other Changes

New Contributors

Full Changelog: 0.6.0...0.7.0
Release created by workflow 8332091498.