Intel has formally archived some more of their now-unmaintained open-source projects this week.

While Intel / Intel Labs continues working on new quantum computing chip research, their open-source software efforts around quantum processors have taken another step back. Back in February [1]Intel archived their Quantum Passes project that was providing additional compiler optimization passes for the Intel Quantum SDK. This week they archived their Quantum Intrinsics open-source project.

Intel Quantum Intrinsics provided a C++-based front-end for the Intel Quantum Compiler and went along with their previously-archived Quantum Passes.

Intel Quantum Intrinsics is an adaptation of LLVM/Clang. Quantum Intrinsics hasn't been seeing much development in recent times amid restructuring at Intel and now their [2]GitHub repository has been archived.

Besides cuts for quantum computing software work, even amid the AI rush they continue sunsetting some AI-related open-source projects too. In prior months they have sunset some AI-related projects like the [3]BigDL time series toolkit and IPEX LLM while now OAP-MLLIB is the latest to be archived.

Intel [4]OAP-MLLIB provided optimized Spark packages for accelerating machine learning algorithms with Spark MLlib. OAP-MLLIB leveraged the Intel oneAPI Data Analytics Library "oneDAL" that was since punted off to the UXL Foundation along with the Intel oneAPI Collective Communications Library "oneCCL". The OAP-MLLib targeted both Intel CPU and GPU capabilities.

Also let go this week was [5]Intel FastGo . Intel FastGo provided optimized Go programming language packages for different compression algorithms for the speediest Deflate / Zlib / Gzip performance when running on Intel Xeon server processors.



[1] https://www.phoronix.com/news/Intel-Quantum-Passes-OSS-End

[2] https://github.com/intel/quantum-intrinsics

[3] https://www.phoronix.com/news/Intel-May-2026-OSS-Archived

[4] https://github.com/oap-project/oap-mllib

[5] https://github.com/intel/fastgo