Fujitsu has announced the worldwide availability of the open source of its software for the development of quantum applications, Open Quantum Application Research Package, codenamed OpenQARP, which will be able to take advantage of the entire developer community to address different social challenges through quantum technology.

The software offers more than 100 components, including quantum algorithms developed by Fujitsu. These components can be combined with each other to considerably simplify the development of quantum applications. In addition, the Open Quantum Application Research Package software supports different execution environments, such as the Fujitsu quantum simulator, developed on a large-scale HPC environment, and the NVIDIA CUDA-Q platform for hybrid quantum-classical computing.

Prior to its launch, Fujitsu made a beta version of the software available to more than 80 organizations from February 2026, through joint research projects and the Quantum Simulator Challenge. This version has already been used to obtain numerous research and development results in the field of quantum applications.

With the open source publication of this software, which incorporates algorithms developed by the company itself, Fujitsu wants to accelerate the practical adoption of quantum software and contribute to addressing different social challenges through the use of quantum technologies.

Solve complex problems previously unattainable

Quantum computing is emerging as one of the ways to solve complex problems that conventional computers cannot address in different areas, such as materials development, financial optimization, healthcare or the discovery of new drugs.

Fujitsu has been working for years on the development of specific Open Quantum quantum applications through joint demonstration projects with clients from different sectors, as well as through research initiatives with universities and research centers.

To accelerate the practical adoption of quantum technology, it is essential that the most advanced algorithms can be widely reused, rather than developed specifically for each problem. With this objective, Fujitsu developed Open Quantum Application Research Package (OpenQARP, code name), a software for the development of quantum applications that incorporates versatile quantum algorithms in the form of components, thus facilitating its use in the development of quantum algorithms for different sectors.

Aiming to further expand the adoption of quantum technology, Fujitsu is now making this software publicly available as open source on GitHub.

Main features of the Open Quantum Application Research Package

1. Easier development thanks to versatile software components

OpenQARP (codename) offers more than 70 combinable blocks, from components for state preparation and ansatz layers to the Quantum Fourier Transform. It also includes more than 20 ready-to-run algorithms built from these blocks, including the Subspace-Search Variational Quantum Eigensolver, designed for noisy intermediate-scale quantum (NISQ) devices, and quantum phase estimation for fault-tolerant quantum computing (5).

Users can combine these components based on their goals to develop quantum applications, thereby reducing the effort required to implement the software.

Fujitsu actively uses this software in its own research and publishes the results obtained. For example, in his work researching and developing quantum chemistry applications to calculate the electronic states of molecules, implementing a process using the ADAPT-VQE algorithm required approximately 130 lines of Python code. Thanks to the use of OpenQARP components, this figure was reduced to less than 40 lines.

This reduction considerably simplifies the implementation of quantum algorithms and allows researchers to focus their efforts on validating the algorithms and their applications.

2. More efficient quantum computing thanks to advanced algorithms developed by Fujitsu

OpenQARP (code name) also incorporates different quantum algorithms developed by Fujitsu as components.

Among them is the Unitary pair Coupled Cluster Doubles algorithm, which takes advantage of the results of previous calculations carried out by classical computers to reduce the number of layers of quantum gates – the depth of the circuit – necessary to prepare the initial state in quantum chemistry calculations.

It also includes Density of States Quantum Phase Estimation, which reduces the complexity associated with preparing the input states required for quantum phase estimation and allows efficient information about energy spectra.

3. Compatible with different execution environments, from conventional PCs to GPU systems and supercomputers

OpenQARP (codename) can be easily installed and used in any standard Python-compatible PC environment.

It can also integrate with NVIDIA CUDA-Q as a backend by compiling from source, allowing you to run quantum circuits in GPU-accelerated open environments.

Additionally, it can be used in Fujitsu’s 40-qubit state vector quantum simulation environment, consisting of 1,024 FUJITSU Supercomputer PRIMEHPC FX700 units, each equipped with Fujitsu’s A64FX processor (6).

This supercomputing environment has been made available to more than 80 organizations through the Quantum Simulator Challenge, and the beta version of the software, available before its public release, has already been used to perform different types of quantum calculations.

Fujitsu also plans to progressively add support for simulation environments based on the STAR architecture for quantum computing, currently the subject of research by the company.

Fujitsu will continue to push OpenQARP (codename), not only within the quantum community, but also in different industrial sectors.

The company wants to accelerate the development of a wide variety of quantum applications for use in society and contribute to addressing different social challenges through quantum technology.

“Providing open tools and resources to accelerate the development of quantum applications is one of the most important paths to moving towards truly useful quantum computing,” said Sam Stanwyck, Director of Quantum Product at NVIDIA. “Fujitsu’s use of CUDA-Q in OpenQARP (codename) demonstrates how the right open tools, along with access to GPU acceleration, enable developers to build and scale solutions to advance towards truly useful quantum applications.”