IBM extends Qiskit beyond Python with native bindings for Fortran, C++ and Julia

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IBM has expanded Qiskit beyond Python by adding native bindings for Fortran, C++ and Julia through its C API, Quantum Computing Report reports. Qiskit has been the most popular quantum programming toolkit for years, but it has been tied closely to Python. The new bindings let developers call Qiskit directly from these languages without going through a Python interpreter. That is a significant change for scientific computing users

The audience is clear. Fortran and C++ dominate high performance computing, and many of the world's big physics, chemistry and climate codes are written in them. Julia has become popular in scientific computing for its speed and readability. Until now, connecting those codes to quantum hardware usually meant awkward bridges to Python

Removing the Python layer brings practical benefits. It can cut overhead, simplify deployment on supercomputers and make it easier to fit quantum steps inside existing simulations. Supercomputing centres often have strict rules about software environments, and Python dependencies can be a headache. Native bindings make life easier for system administrators too

This fits neatly with the other hybrid computing news this week. The QRMI middleware lets job schedulers book quantum processors, and IBM's new Executor primitive gives users more control over error mitigation. Native language bindings are another piece of the same puzzle. Together they make quantum processors feel more like a normal part of a supercomputer

I think this is a smart move by IBM. Scientists are not going to rewrite decades of Fortran to use quantum computers. Meeting them where they already work is far more realistic. It should help bring quantum methods into real scientific workflows much faster

Have you worked with scientific codes in Fortran or C++? And do you think native bindings will bring more scientists to quantum computing?

IBM Expands Qiskit Beyond Python with Native C API Bindings for Fortran, C++, and Julia - Quantum Computing Reportquantumcomputingreport.com