The 2024-2025 Nobel and Turing awards recognised AI and quantum science simultaneously. Yet no deployed system has brought these streams together for the public. This paper presents QSignAI, a production-deployed platform demonstrating a bidirectional AI-quantum relationship in a real-time event participation system. We address three questions: can quantum-randomness generation via a two-source extractor be embedded in an AI-driven social platform with acceptable latency; can an AI bot make quantum phenomena perceptually legible to general audiences; and does the combined system work in practice? A conversational bot routes each participant's first message through a quantum pipeline comprising a Toeplitz two-source extractor over independent single-qubit Hadamard measurements on SV1 and DM1 simulators, plus a 2-qubit Bell state, producing a unique quantum-randomness-seeded identity signature per participant. The first two questions are answered through system architecture and qualitative deployment evidence from live events; the third through successful production deployment. The current deployment uses cloud quantum simulators; physical QPU randomness is the near-term extension. Measurable benchmarks are identified as priority future work.

翻译：2024-2025年诺贝尔奖和图灵奖同时表彰了人工智能与量子科学领域，但目前尚无已部署系统将这两大领域融合服务于公众。本文提出QSignAI——一个已投入生产的部署平台，在实时事件参与系统中展示了AI与量子之间的双向协同关系。我们探讨三个问题：能否将基于双源提取器的量子随机生成嵌入AI驱动的社交平台并保持可接受的延迟；AI机器人能否使量子现象对普通受众具有可感知的可读性；以及该组合系统在实践中是否有效。通过对话式机器人，每位参与者的首条消息被路由至量子流水线：该流水线包含基于SV1和DM1模拟器独立单量子比特Hadamard测量的Toeplitz双源提取器，以及2量子比特Bell态，从而为每位参与者生成独有的量子随机种子身份签名。前两个问题通过系统架构和实时事件的定性部署证据得到解答；第三个问题通过成功的生产部署得到验证。当前部署采用云端量子模拟器，物理QPU随机性生成是近期扩展方向。可量化基准测试被确定为优先开展的未来工作。