Insider Brief

• Fujitsu released OpenQARP as open-source software, offering more than 100 components designed to streamline quantum application development.
• The package includes more than 70 composable building blocks and 20 ready-to-run algorithms, including tools developed by Fujitsu.
• OpenQARP supports standard PCs, NVIDIA CUDA-Q and Fujitsu’s 40-qubit simulator, following beta testing by more than 80 organizations.

PRESS RELEASE — Fujitsu Limited today announced the global open-source release of its quantum application development software, Open Quantum Application Research Package (OpenQARP (code name)).

The software offers over 100 software components, including Fujitsu-developed quantum algorithms. These components can be combined to significantly streamline quantum application development. The software is compatible with various execution environments, such as Fujitsu’s quantum simulator built on a large-scale HPC environment and the NVIDIA CUDA-Q platform [1] for hybrid quantum-classical computing. Prior to its public release, Fujitsu has provided a beta version of the software to over 80 organizations since February 2026 through joint research and the Quantum Simulator Challenge [2], and it has already been used to generate numerous research and development results in quantum applications.

By publicly releasing the software, which includes Fujitsu-developed algorithms, as open-source software, Fujitsu aims to accelerate the practical adoption of quantum software and contribute to addressing societal challenges through quantum technology.

Background

Quantum computing is expected to provide one approach to solving complex problems that conventional computers cannot address in various societal domains, such as materials development, financial optimization, healthcare, and drug discovery. Fujitsu has been engaged in the development of specific quantum applications through joint demonstrations with customers across various industries and joint research with universities and research institutions. To accelerate the practical adoption of quantum technology, it is crucial that cutting-edge algorithms are widely reusable rather than being custom-built for specific problems. Therefore, Fujitsu developed Open Quantum Application Research Package (OpenQARP (code name)), a quantum application development software that implements versatile quantum algorithms as components to promote their use in quantum algorithm development across various industries. To further expand the adoption of quantum technology, Fujitsu is now publicly releasing the software as open-source software on GitHub.

Features of Open Quantum Application Research Package

• Streamlined implementation through the provision of versatile software componentsOpenQARP (code name) provides over 70 composable building blocks, from state preparation and ansatz layers to the Quantum Fourier Transform. It also provides over 20 ready-to-run algorithms built from these blocks, including Subspace-Search Variational Quantum Eigensolver [3] for Noisy Intermediate-Scale Quantum [4] devices and quantum phase estimation for fault-tolerant quantum computing [5]. Users can combine these components according to their objectives to develop quantum applications, thereby reducing software implementation efforts.
  Fujitsu actively uses the software in its own research and publishes the resulting outcomes. For example, in the research and development of quantum chemistry applications for calculating molecular electronic states, implementing a process using the ADAPT-VQE algorithm required approximately 130 lines of Python code, which its components reduced to under 40 lines. This significantly reduces the burden of implementing quantum algorithms, allowing researchers to focus on validating algorithms and applications.
  
• Efficient quantum computation through Fujitsu-developed advanced algorithmsOpenQARP (code name) also provides Fujitsu-developed quantum algorithms as components. These include the Unitary pair Coupled Cluster Doubles algorithm, which leverages pre-computation results from classical computers to reduce the number of quantum gate layers (circuit depth) required for initial state preparation in quantum chemical calculations, and Density of States Quantum Phase Estimation, which reduces the burden of preparing complex input states required for quantum phase estimation and efficiently obtains information about energy spectra.
  
•  Compatibility with various execution environments, from general PCs to GPU-equipped systems and supercomputersOpenQARP (code name) can be easily installed and used by anyone in a standard PC environment that supports Python. It can also integrate with NVIDIA CUDA-Q as a backend via a source build, enabling quantum circuit execution in open GPU-accelerated environments. Furthermore, it can be used in Fujitsu’s 40-qubit state-vector quantum simulator environment, which is composed of 1,024 FUJITSU Supercomputer PRIMEHPC FX700 units, each equipped with Fujitsu’s “A64FX” [6] processor. This supercomputing environment has been made available to more than 80 organizations through the Quantum Simulator Challenge, and the pre-released beta version of the software has been used to perform a variety of quantum computations. Fujitsu also plans to sequentially support simulation environments based on the STAR architecture for quantum computing that it is researching.

Future Plans

Fujitsu will continue to promote OpenQARP (code name) not only within the quantum community but also across various industrial sectors. The company aims to accelerate the development of a wide range of quantum applications in society and contribute to addressing societal challenges through quantum technology.

Comment from Sam Stanwyck, Director of Quantum Product at NVIDIA:

Providing the open tools and resources to accelerate quantum application development is one of the most important ways to accelerate the journey to useful quantum computing. Fujitsu’s use of CUDA-Q in OpenQARP (code name) shows how the right open tools, with access to GPU-acceleration, are empowering developers to build and scale toward quantum utility.

Public Information for this Software:

• Official Name: Open Quantum Application Research Package (OpenQARP (code name))
• Release Date: September 15, 2026
• Release Version: v0.1.0
• OSS License: Apache License, Version 2.0
• Source Code: https://github.com/OpenQARP/openqarp
• Documentation: https://openqarp.github.io/openqarp/

Trademark

All product names and other proper nouns mentioned herein are trademarks or registered trademarks of their respective owners.

Note

• [1] CUDA-Q platform:An open-source, QPU-agnostic quantum-classical accelerated supercomputing platform.
• [2] Quantum Simulator Challenge:A competition to showcase achievements in quantum application development.
• [3] Subspace-Search Variational Quantum Eigensolver:A variational quantum algorithm that simultaneously searches multiple quantum states to find ground and excited states.
• [4] Noisy Intermediate-Scale Quantum:Quantum computers of intermediate scale that are affected by noise.
• [5] Fault-Tolerant Quantum Computing:A quantum computing approach that applies error correction to enable reliable computation.
• [6] 6. A64FX:A CPU developed by Fujitsu and used in the Fugaku supercomputer.

Related Links

OpenQARP (code name) ― featured page

NVIDIA CUDA-Q platform

About the Fujitsu Quantum Simulator Challenge 2025-26 (Technology Topics, December 17, 2025)

A Simple Method for Seniority-Zero Quantum State Preparation

Spectral subspace extraction via incoherent quantum phase estimation

A Hybrid Quantum Computing Method for UV–Vis Spectroscopy of Solvated Molecules at Room Temperature