Fujitsu Open-Sources Quantum Application Toolkit OpenQARP
Fujitsu has open-sourced a quantum application development package, providing over 100 software components to anyone with a Python setup. The package, named Open Quantum Application Research Package (OpenQARP), includes more than 70 building blocks and 20 ready-to-run algorithms.
Fujitsu’s Release Details
Fujitsu announced the global open-source release from Kawasaki, Japan, on September 15. The package is version v0.1.0 and is published on GitHub under the Apache License, Version 2.0. Documentation is hosted separately on GitHub Pages. The contents are designed for researchers developing quantum algorithms. Fujitsu highlights composable elements such as state preparation, ansatz layers, and the Quantum Fourier Transform.
The 20 ready-to-run algorithms include a Subspace-Search Variational Quantum Eigensolver for noisy intermediate-scale quantum (NISQ) devices and quantum phase estimation, which is intended for fault-tolerant machines that are not yet available. Fujitsu has also integrated its own algorithms, including one that reportedly reduces circuit depth for quantum chemistry input states.
The software operates on a standard Python-capable PC. It can connect to NVIDIA’s CUDA-Q platform via a source build for GPU-accelerated environments. It also runs on Fujitsu’s state-vector simulator, which is described as a 40-qubit system constructed from 1,024 PRIMEHPC FX700 units. This is a simulator, not quantum hardware.
Limitations of the Release
This release consists entirely of code and simulation. A state-vector simulator models quantum circuits on classical supercomputers, which means nothing in the package indicates a functional quantum processor or useful computation. Fujitsu’s own example, which claims to reduce a chemistry routine from approximately 130 lines of Python to under 40, is a developer convenience claim, not a benchmark of computational performance.
Fujitsu states that the beta version reached over 80 organizations since February 2026 through its Quantum Simulator Challenge. However, the company has not published independent test results, error rates, qubit counts on real hardware, or customer deployments linked to this software. Sam Stanwyck, NVIDIA’s director of quantum product, noted that open tooling helps accelerate the journey toward useful quantum computing, framing this work as a step rather than a definitive outcome.
The license and repository are clearly defined, differentiating this from research code posted without terms. However, the maintenance model, contribution process, and governance are not described. Fujitsu plans to support simulator environments based on its STAR architecture in the future, which indicates stated intent. Open-sourcing a toolkit encourages more people to write quantum code but does not advance quantum hardware beyond its current limitations.