Fujitsu’s technological development priorities centre on scaling quantum computing capabilities towards practical application. The company is actively pursuing a 10,000-qubit superconducting quantum computer, targeted for completion in fiscal 2030, incorporating its internally developed “STAR” architecture – an early-stage fault-tolerant quantum computing (early-FTQC) design. This architecture, demonstrated through simulations, is projected to execute complex material energy estimation calculations – a task requiring five years on conventional computers – within approximately ten hours using 60,000 qubits.
Key to achieving this scale is focused research across several critical areas. High-throughput, high-precision qubit manufacturing technology is paramount, with efforts concentrated on improving the manufacturing precision of Josephson Junctions – essential components of superconducting qubits – to minimise frequency variations. Simultaneously, Fujitsu is developing chip-to-chip interconnect technology, encompassing advanced wiring and packaging techniques to facilitate the interconnection of multiple qubit chips and the creation of larger quantum processors. Addressing the practical challenges of cryogenic cooling and control systems is also a priority, with research directed towards high-density packaging and low-cost qubit control methods, including techniques to reduce component count and heat dissipation.
“Fujitsu is already recognized as a world leader in quantum computing across a broad spectrum, from software to hardware. This project, led by NEDO, will contribute significantly to Fujitsu’s goal of further developing a Made-in-Japan fault tolerant superconducting quantum computer. We would also be aiming to combine superconducting quantum computing with diamond spin technology as part of our roadmap. By realizing 250 logical qubits in fiscal 2030 and 1,000 logical qubits in fiscal 2035, Fujitsu is committed to leading the path forward globally in the field of quantum computing. Additionally, Fujitsu will be developing the next generation of its HPC platform, using its FUJITSU-MONAKA processor line, which will also power FugakuNEXT. Fujitsu will further integrate its platforms for high-performance and quantum computing to offer a comprehensive computing platform to our customers.”
Furthermore, the development of robust decoding technology for quantum error correction is being actively pursued, encompassing both algorithmic advancements and system design innovations to accurately decode measurement data and correct errors inherent in quantum computations. Beyond solely superconducting qubits, Fujitsu is also investigating the integration of diamond spin-based qubits, leveraging light for qubit connectivity, and collaborating with institutions such as Delft University of Technology and QuTech to enhance qubit accuracy and controllability. The company anticipates achieving a 250-logical qubit machine by 2030 and a 1,000-logical qubit system by 2035, potentially utilising multiple interconnected qubit chips.
Technology development focus areas
Fujitsu’s research efforts will focus on developing the following scaling technologies.
- High-throughput, high-precision qubit manufacturing technology. This includes the improvement of the manufacturing precision of Josephson Junctions. They are critical components of superconducting qubits, which minimize frequency variations.
- Chip-to-chip interconnect technology: This involves the development of wiring and packaging technologies. These enable the interconnection of multiple qubit chips. This development facilitates the creation of larger quantum processors.
- High-density packaging and low-cost qubit control. It addresses the challenges associated with cryogenic cooling and control systems. This includes the development of techniques to reduce component count and heat dissipation.
- Decoding technology for quantum error correction: This involves the development of algorithms. It also includes system designs for decoding measurement data. These advancements help in correcting errors in quantum computations.
More information
External Link: Click Here For More
