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This paper introduces QSignAI, an open-source platform that integrates quantum-randomness generation from cloud-based quantum simulators into an AI-driven social platform to create unique identity signatures. The system aims to demonstrate a bidirectional relationship between AI and quantum science, making quantum phenomena accessible to a general audience. The platform's deployment shows the feasibility of embedding quantum randomness in AI systems and using AI to visualize quantum phenomena, though quantitative performance metrics are left for future work.
Quantum circuits are no longer confined to the lab: QSignAI brings quantum-randomness-seeded identity signatures to a production-deployed AI social platform.
The 2024--2025 Nobel and Turing awards recognised artificial intelligence and quantum science in the same breath -- machine learning as a physical science, artificial intelligence solving 50-year scientific problems, superconducting quantum circuits as the hardware foundation of quantum computing, and quantum information principles as computing's highest achievement. Yet no deployed artificial intelligence system has brought these two streams together for the general public: identity systems still rely on pseudo-random tokens, and quantum circuits remain invisible to the billions of people who use bot-enabled social messaging platforms daily. This paper presents QSignAI, a production-deployed open-source platform demonstrating a bidirectional relationship between artificial intelligence and quantum science in a real-time event participation system. We address three research questions: first, can quantum-randomness generation via real quantum circuits be embedded in an artificial-intelligence-driven social platform with acceptable latency and cost; second, can an artificial intelligence bot make quantum phenomena perceptually legible to general audiences with no prior technical knowledge; and third, does a system combining both directions work in practice. A conversational artificial intelligence bot routes each participant's first message through a two-circuit quantum pipeline on a cloud quantum simulator, producing a unique quantum-randomness-seeded identity signature per participant. The first two questions are answered through system design and qualitative deployment evidence; measurable comparisons are identified as priority future work.