Quanmatic Wins the 11th JEITA Venture Award for Optimization Technology Combining Quantum Computing and AI
Quanmatic has received the 11th JEITA Venture Award for its optimization technology that fuses quantum computing and AI.
📋 Article Processing Timeline
- 📰 Published: March 30, 2026 at 19:26
- 🔍 Collected: March 30, 2026 at 22:56 (3h 29m after Published)
- 🤖 AI Analyzed: April 16, 2026 at 07:45 (392h 49m after Collected)
Quanmatic Inc. (Headquarters: Shinjuku-ku, Tokyo; Representative Director & CTO: Yosuke Takekasa) has been awarded the 11th JEITA Venture Award, hosted by the Japan Electronics and Information Technology Industries Association (JEITA).
This award recognizes venture companies that can contribute to the comprehensive development of the electronics and information technology industry, economic development, and a new normal society post-pandemic, from the perspectives of growth potential, leadership, ripple effect, and social contribution. Quanmatic was highly recognized for its unique optimization method that fuses quantum computing and AI, which accurately reflects complex, site-specific constraints and achieves social implementation in a form that is truly usable in practice.
Reason for Award
*Excerpted from the JEITA Press Release (https://www.jeita.or.jp/japanese/topics/2026/0327.pdf )
Quanmatic Inc. provides an optimization calculation solution that can precisely reflect site-specific complex constraints through its unique method combining quantum computing and AI. The company has already achieved results such as approximately a 40% reduction in equipment operation losses, demonstrating social implementation in a form that is truly usable in practice, not just theoretical. Currently, the strategy of maximizing the benefits of quantum computing on classical computers while accumulating practical data and implementation experience will be a significant advantage towards the advent of the quantum computing era. It is strongly expected that Quanmatic will lead social implementation using quantum technology until the full-scale practical application of quantum computers, and solve complex problems. Therefore, it has been judged to be worthy of the JEITA Venture Award.
Comment from Quanmatic Representative Director & CTO, Yosuke Takekasa
We view this recognition as a tailwind for our approach, which has focused not only on theory but also on practical implementation. Currently, we will bridge the gap towards the full-scale practical application of quantum computers by maximizing the advantages of quantum computing on classical computers, pursuing both technological advancement and the expansion of social implementation.
Future Outlook
Quanmatic will connect quantum computing technology and mathematical optimization to solve real-world problems.
FAQ
What is the JEITA Venture Award?
The JEITA Venture Award is an award hosted by the Japan Electronics and Information Technology Industries Association (JEITA) that recognizes venture companies contributing to the development of the electronics and information technology industry, economic growth, and a new normal society.
What technology does Quanmatic use?
Quanmatic uses a unique optimization method that fuses quantum computing and AI. This technology is designed to accurately reflect complex, site-specific constraints and achieve practical social implementation.
What are the benefits of Quanmatic's technology?
Quanmatic's technology has demonstrated practical benefits, such as approximately a 40% reduction in equipment operation losses. It aims to solve complex real-world problems by applying advanced optimization techniques.
How does Quanmatic leverage quantum computing on classical computers?
Quanmatic's current strategy involves maximizing the benefits of quantum computing on classical computers while accumulating practical data and implementation experience. This approach serves as a bridge towards the full-scale practical application of quantum computers.
What is Quanmatic's future outlook?
Quanmatic plans to continue connecting quantum computing technology and mathematical optimization to solve real-world problems, aiming for both technological advancement and expanded social implementation.