Fujitsu $100,000 Quantum Simulator Challenge 2025-26
Fujitsu Limited(“Fujitsu”) would like to solicit applications from interested members of the industry and academia to test the quantum simulator on novel problems and applications. Building on past successful Quantum Simulator Challenges, this contest will include several new and advanced features implemented in Fujitsu’s Quantum Simulator. Our objectives are:
Apply quantum simulator to customer pain points
Test the quantum simulator with real world applications
Explore quantum use cases collaboratively with participants selected by Fujitsu (the “Participant(s)”)
Obtain feedback from Participants on performance and scalability
Benefits of Participation
Eligible for $100,000 prize money
First Prize – $50,000
Second Prize – $30,000
Third Prize – $20,000
Free use of our quantum technologies for development of the project
Collaboration with our quantum experts for training, support, and insights
Potential future partnerships to bring jointly created technologies and services to Fujitsu’s customers as well as potential investment
Co-branding and marketing activities with Fujitsu, and possible inclusion in Fujitsu Quantum Day and Fujitsu Tech Open House events.
Background
Fujitsu has developed a 40-qubit CPU-based state vector quantum simulator system consisting of 1024 FX700 nodes with by using A64FX processors. The quantum simulator utilizes “Qulacs,” one of the world’s fastest quantum simulator software developed by Osaka University and QunaSys Corporation. Fujitsu enhanced Qulacs so that it can be executed in parallel and distributed way on the cluster system utilizing MPI (Message Passing Interface) technology and optimizing memory bandwidth using SVE(Scalable Vector Extension) operation. Fujitsu has also prepared a software development kit (SDK) partially compatible with Qiskit, one of the major development tools for quantum computer software, to offer quantum software developers a highly convenient development environment. In addition to the state vector quantum simulator, we will make new features available to participants this year. These include a ‘Tensor Network-based Quantum Simulator’, which can perform computations on quantum circuits with 40 or more qubits in environments with low circuit depth, and our proprietary quantum algorithm library, the ‘Fujitsu Quantum Application Research Package’ (Fujitsu QARP), which streamlines quantum application development and reduces effort.
Key Features of Fujitsu Quantum Application Research Package
Participation Requirements
Participants should agree to the Participant Agreement and the Trial Service Agreement, both of which will be designated separately by Fujitsu.
Applicants must be legal entities, such as companies or institutions. Multiple entities may apply as one team, or multiple teams may apply from one entity.
Participants are required to use Fujitsu QARP for their project. Details of QARP will be shared once the above agreements have been signed.
Every project will be scored using the following evaluation criteria. The team which scores the highest will be awarded the prize.
Project Uniqueness
Uniqueness of a project theme, use case scenario
Business Applicability
How a project impacts actual business with an emphasis on solutions for real-world applications
Algorithms Quality
How well the quantum algorithms were developed
Solving complex problems
The number of qubits used for simulation with preference given to higher qubit utilization and solutions to complex problems
Utilization of Fujitsu Quantum Application Research Package (Fujitsu QARP)
Use of Fujitsu QARP, with valuable feedback on usability.
Fujitsu plans to host technical webinars and establish a community space on Slack to facilitate Q&A sessions and knowledge sharing among participants and our research team.
How to Participate
To participate, please download, fill out application form after the privacy notice below and send it to fra_quantum@fujitsu.com by January 30, 2026. All applications will be reviewed by Fujitsu and the participants of the challenge will be selected based on problem innovation, breadth of applicability and resulting customer impact.
