Yamato Holdings Co., Ltd. (Head Office: Chuo-ku, Tokyo; Representative Director and President : Toshiyuki Sakurai) has made an investment in JIJ Inc. (Head Office: Minato-ku, Tokyo; CEO: Yu Yamashiro), a provider of mathematical optimization_^*1 solutions leveraging quantum technologies_^*2, through the KURONEKO Innovation Fund II (“KIF II”).

JIJ is Japan’s quantum annealing _^*3 at Tokyo Institute of Technology (now Tokyo University of Science), a leading institution in this field, with the goal of commercializing the research findings.Through “JijZept,” a mathematical optimization platform that leverages quantum technology to solve complex planning problems requiring large-scale, complex computations in business and other settings, the company provides solutions that support corporate business growth.With a proven track record of implementation and support across diverse industries both in Japan and overseas, the company offers a one-stop service ranging from identifying challenges to mathematical modeling and program implementation.

KIF II has made this investment in recognition of JIJ’s strong proposal and problem-solving capabilities—which leverage its expertise in quantum technology—as well as its track record of successful implementations with companies.Through this investment, the Yamato Group aims to share its expertise in solving logistics challenges and improving logistics efficiency to support JIJ’s business growth, while also exploring the potential for utilizing quantum technology in logistics.

*1 A computational technique that mathematically derives the optimal solution—the choice that best achieves a given objective (such as minimizing cost or maximizing profit)—given various constraints.

*2 A technology that enables ultra-high-speed computing—which is impossible with conventional technologies—by utilizing the unique properties (such as superposition and entanglement) exhibited by extremely small “quanta,” such as atoms and electrons, in fields such as information processing, communications, and measurement.

*3 Computational techniques for rapidly solving “optimization problems,” which involve finding the optimal combination from a vast number of possibilities.