A collaboration of research entities has successfully developed Japan's third superconducting quantum computer, which is now operational at Osaka University. The consortium includes partners such as the Center for Quantum Information and Quantum Biology at Osaka University, RIKEN, the Advanced Semiconductor Research Center at the National Institute of Advanced Industrial Science and Technology (AIST), the Superconducting ICT Laboratory at the National Institute of Information and Communications Technology (NICT), Amazon Web Services, e-trees. Japan, Inc., Fujitsu Limited, NTT Corporation, QuEL, Inc., QunaSys Inc., and Systems Engineering Consultants Co., LTD. (SEC).
From December 22, 2023, onward, the collaborators will grant users in Japan remote access to the recently created quantum computer through the cloud. This allows researchers to implement quantum algorithms, enhance and validate software operations, and explore applications from a distance. The newly developed superconducting quantum computer incorporates a 64-qubit chip from RIKEN, utilizing the same design as the chip in RIKEN's initial superconducting quantum computer, which was introduced to Japanese users as a cloud service for non-commercial purposes on March 27, 2023.
The research team for the latest quantum computer procured a higher proportion of components from domestic manufacturers (excluding the refrigerator). They have verified that the new quantum computer, along with its components, delivers sufficient performance and intend to use it as a testing ground for components manufactured in Japan. Going forward, the research group will operate the newly developed computer, refining its software and other systems to handle substantial workloads in cloud computing. The team envisions that the computer will play a pivotal role in advancing machine learning and the practical application of quantum algorithms. It is expected to facilitate exploration in areas such as material development and drug discovery, as well as contribute to addressing environmental concerns through the optimization of problem-solving processes.
