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Qiskit Expands Language Support for Quantum Computing

Qiskit Expands Language Support for Quantum Computing

First seen 6 Oct 2026, 22:57 UTC • •

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ThreatCluster AI
ThreatCluster •October 7, 2026 at 22:32 UTC
  • •Qiskit now supports Fortran, C++, and Julia, enhancing accessibility for researchers.
  • •The new C API allows direct integration of quantum circuits into existing HPC workflows.
  • •Interoperability between languages enables seamless use of quantum computing methods.

IBM has announced that Qiskit now supports Fortran, C++, and Julia through a new C API, allowing users to build and run quantum circuits without requiring Python. This enhancement aims to facilitate the integration of quantum computing into existing high-performance computing (HPC) workflows, particularly in scientific research. The new interfaces enable interoperability between different programming languages, allowing circuits created in one language to be utilized in another. This development is significant for researchers who typically use languages like Fortran and C++ for compute-heavy tasks in fields such as physics and engineering. Qiskit, already the most popular SDK for quantum computing, aims to make quantum methods more accessible to a broader audience beyond Python users. The update is part of IBM's ongoing efforts to advance quantum computing applications in optimization, machine learning, and scientific simulations.

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Common questions

What programming languages are now supported by Qiskit?
Qiskit now supports Fortran, C++, and Julia in addition to Python.
How does the new C API benefit researchers?
The C API allows researchers to integrate quantum computing directly into their existing codebases without needing to use Python.
What applications can benefit from this update?
The update is particularly beneficial for optimization, machine learning, and scientific simulations in high-performance computing.