aiqbench takeQuantum Computing

Qiskit v2.0 introduces native support for Fortran, C++, and Julia via a new C API backed by a Rust core, eliminating the previous dependency on Python for circuit construction. This architectural shift facilitates seamless interoperability between high-performance classical languages and quantum workflows, directly addressing the need to integrate quantum capabilities into existing scientific computing environments in physics and chemistry. The move underscores a strategic pivot toward treating quantum computing as an extension of classical HPC rather than a standalone ecosystem.

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Now You Can Build quantum circuits in Fortran, C++ And Julia with Qiskit

Quantum ZeitgeistOctober 6, 20267 min read

Qiskit v2.0 now lets you create and run quantum circuits natively in Fortran, C++, and Julia—without Python.

The popular quantum computing software development kit, Qiskit, now allows developers to build circuits using Fortran and C++ without relying on Python. This shift is enabled by Qiskit v2. 0’s exposed C API, which connects to a high-performance Rust core, and allows interoperability between languages. Explains IBM, as the new interfaces aim to integrate Qiskit into existing workflows for researchers already using these languages in fields like physics and chemistry. Since Qiskit version 2. 0, developers can construct quantum circuits without using Python, using a newly exposed C application programming interface (API) connected to a high-performance Rust core. This shift allows integration with languages commonly used in high-performance computing and scientific applications, including Fortran, C++ and Julia, removing the need for a Python interpreter in existing workflows. The core’s architecture means that the same underlying data model powers…

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