Quantapalooza ™ | Volume 1. Issue 2

Abstract We report an end-to-end pipeline that links instrumented performance apparel (jerseys, shorts, socks, mouth guards, head/sweat bands) to IBM Quantum simulations and AI analysis with ChatGPT-5 & Microsoft Copilot. Fifty consenting Omniverse Sports League® (OSL) participants (25 sports, 25 esports) wore lightweight sensorized gear before, during, and after live play. Telemetry (thermal/skin, hydration loss, impact G, grip moisture, HRV, blinks, latency, keystroke error) was streamed through an edge device and secure uplink to IBM Quantum Runtime for three quantum workloads: (1) Quantum Amplitude Estimation (QAE) for what-if outcome probabilities; (2) QAOA for bracket/scheduling trade-offs (fatigue vs. broadcast windows); and (3) quantum kernels for small-sample classification (match-up style, roster micro-fit). AI agents then summarized per-athlete interventions. We enumerate common themes (thermal regulation, hydration, grip, HRV recovery) and divergent themes (impact safety for sports; network/ergonomics for esports), visualize overlaps in a Venn diagram, and provide a 50-row participant table with concrete, directly actionable recommendations. The work extends our first Quantapalooza™ article on OSL simulations by integrating apparel telemetry and AI post-processing.