QunaSys Expands Monitor Program for 'PhysiLenz,' an AI-Powered Research Support Service

QunaSys Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Tennin Yan), a leader in industrial applications of quantum computing, has announced the expansion of its monitor program for 'PhysiLenz,' a generative AI service designed to organize and express researcher hypotheses as mathematical models.

The service is already being utilized by several companies, demonstrating effectiveness in streamlining experimental conditions and visualizing hypotheses for complex phenomena. The program aims not just to implement a finished system, but to verify with clients whether the 'problem formulation' process facilitated by PhysiLenz adds tangible value to R&D workflows.

### Background: Toward 'Mathematical Model-Based Development' While Materials Informatics (MI) has enhanced search efficiency through data, relying solely on data correlations has limits in achieving fundamental understanding. To address this, QunaSys and Zeon Corporation have co-proposed 'Mathematical Model-Based Development,' a hybrid approach combining empirical data with mechanistic hypotheses to drive quantitative development.

### Key Features of PhysiLenz 1. **Structuring Hypotheses**: Visualizes the ideas within a researcher's mind. 2. **Understanding Complex Phenomena**: Captures the big picture of multi-factor events. 3. **Clarifying Next Actions**: Facilitates decision-making for subsequent experiments and analyses.

### Future Roadmap QunaSys plans to 'democratize' this process through enhanced AI navigation, evolving PhysiLenz from an individual thinking tool into an organization-wide decision-making infrastructure. This expansion of the monitor program is a critical step in validating the tool's impact on R&D speed and quality.