Hi everyone. Good morning. I'm Pradeep Kana. Today we look at how quantum computing can boost Siemens Teamcenter, or any other PLM tool, the PLM system many of you already use. So we can choose product options faster and keep supply chain safer. Think of this as a tool first, we'll see the business pain. Then a quick premium on quantum tech. Real world cases, studies risk, and finally, a step by step roadmap. By the end, you should know why, where, how to start a small but meaningful quantum pilot inside PLM. Let's start with pain points in dollars and time. A study from interior shows that every big supply chain hiccups cost a company about $22 million on average. While the line has come down, we burned roughly $1.5 million each day. On top of that product complexity is exploding. The BMW Mini once offered 15 today and valid options. Combination traditional rule engines inside PLM, how to check those options almost one by one. An impassable task quantum algorithm can search huge, spacious infraction of these steps. So we move from overnight bad jobs to coffee break answers. That's previous business case. Two quick ideas. Qubits are tiny elements that can be one, zero or one at the same time when we link cobits through entire entanglement. A singular operation explores many paths in power. There are three main hardwares styles in 2025. Gate model chips like IBM's that run gentle quantum logic enter layers from D Wave grade for optimization, neural autumn array like Pascals that behave like flexible graphs. Today's machines are still noisy, so we wrap a small quantum core with good old classical core. That hybrid mix already beats. Classical only solver uncertain optimization problems. Here is what actually available not just in labs, but through cloud APIs. TVA Advantage two 4,400 Kibitz. Lives since May, 2025. Pascal a hundred neural autumn cubits on Google Cloud. BM Eagle 1 27 cubit gate model with a 1,386 cubit chip plant. This year, Fugi digital and linear 8,192 bits already. Plants daily work at Toyotas tsunami plant. The good news. Teamcenter can talk to each of these. Through a simple rest core, the same way, already sends jobs to an HPC cluster. Nothing. Here rewrites Teamcenter score. Step one, pull the bill of materials or supply data through active workspace. Rest. Step two, convert the data into maths from the quantum mechanic. Understands. A QO metrics for optimization or a probability model for simulations. And the next step three, send it to the cloud. Wait for a few seconds, get the best answer. And the last step four, write the new configuration or risk score back into Teamcenter so everyone can act on it. It's a bold on microservice, not a rip and replace. Remember those 15 trillion mini options with a quantum handling, we treat every rule as an energy penalty. The machine naturally slides to a valid low energy build in milliseconds Toyota. The idea daily production sequence runs drop by 90% for a 10,000 line bombing bomb. Engineers can now click validate and see a feasible options list before their coffee gets cold. Exciting, right when a port closes, planners run Monte or law simulation to see projected losses. Classically, that can mean 1 million scenarios with quantum amplitude estimation. We need only 10,000 to hit the same nce, a hundred times fewer runs in D wave tests. Scenario speed jumped from 12 to two 90 per minute. Shrinking is six day recovery study, 220 hours. That can be difference between scrambling and calmly rerouting parts. Quantum is not just for logistics. Three. Design waves, battery cooling. CFD covered 92% faster Crash, FEA run counts fell 68%. Saving 2.1 million per platform. Polymer chemistry simulations that used to take three days. Now finish overnight. Each result fits back into Teamcenter Digital Twin, letting designers try more ideas in the same project window. This isn't sign fiction. Big names are Live Toyota Digital and Layer sequence. It's line daily. BMW Part plus Pascal. Optimizing metal forming fur, lighter cars, D-Wave running logistics pilots for German manufacturers. Their lessons start small. Prove value, then scale. Leadership is on board in January, 2025. S-A-P-C-U said Quantum could shrink week long. MRP runs into one hour. Siemens Digital Industries, up its quantum r and d budget. In March. Board level conversations are sifting from why to when and where. Quantum computers can also break today's encryption. So we must protect as we innovate. NIST release the first post Quantum standards in 2024. Cloud Flare already sees 2% of all web traffic using P-Q-T-L-S Action item Audit Team center, supplier portal for RSA 2048 and plan a cutover. Every new tech has hurdles. Right show be decoherence. We use hybrid error aware code, vendor lock. Insist on open standards like QIRK gap. Trend quantum translators inside the PLM teams. Hype set phase gated ROI Checkpoints. So projects live or die on real numbers here. A low risk plan, zero to three months. Pick one high value use case. Do a cloud proof of concept. Four to 12 months YM micro service into production. Benchmark agne CPUs 12 to 24 months. Roll out to more sites. Swap supplier portal TLS to post quantum. Each gate has clear goals, top metrics. Keeping spender under control. Yep. Tech alone won't win. We need people who can speak both PLM and Quantum, create a quantum translator role run internal hackathons on real team center data and track progress with new KPIs, like number of quantum ator bond checks per hour. That builds a culture, not just a prototype. To wrap up, hardware is still in. So hybrid approaches and good data, privacy rules are vital, but the upside is huge. Faster designs, safer supply chains, lower costs. Quantum PLM is moving from labs to factory flows. Teams that explore now will shape that future instead of chasing it. Thank you.