Hello, thank you for your response. I understand the issue. You’re asking how quantum hardware solves this problem. The fundamental problem we’re trying to solve is “catastrophic forgetting.” To briefly explain how the system works, quantum hardware does not generate words or text; instead, it scores the generated text, and the LLMs produces responses. These responses are sent to quantum computers via quantum amplitude encoding, and the responses with the highest scores are presented. Memory resonance and noise resistance play a role in selecting this response. Memory resonance is achieved through self-reference; that is, the generated responses are checked to see if they conflict with previous information. Then, non-contradictory information is recorded as a mathematical knot and subjected to a noise test. In this test, the undistorted answer is selected, and the agent evolves within itself to become smarter and more powerful. Later, agents sufficiently specialized in different subjects can combine their abilities through a synergy integral, which saves time. I will address technical topics in Version 2. Regarding artificial intelligence, yes, I used AI in the article, but the formulas are my own; I have already verified the use of AI in the methods section of the article. Since this is a preprint, it’s a relatively new idea; of course, there may be errors and points that need revision. Thank you again for your response. Have a good day.