{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TechSurge: Deep Tech Podcast","title":"The Nobel Winner Behind Google's Quantum AI Lab: Why I'm Building the NVIDIA of Quantum","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/3a18611f\"></iframe>","width":"100%","height":180,"duration":4125,"description":"In this episode, Nobel Prize-winning physicist Dr. John Martinis reveals how his breakthrough in superconducting qubits made quantum physics real at macroscopic scale and what it means for the future of technology. The former lead of Google's Quantum AI lab explains why quantum computing is so fragile, why a lot of hype has a low chance to work, and why his fabless company Qolab could be the Nvidia of quantum computing\nIn this conversation, Dr. Martinis joins Tech Surge to explain the science behind macroscopic\nquantum coherence, the engineering challenges of scaling quantum computers, and how hybrid quantum-classical computing will shape the future of technology.\nThe conversation covers:\n✅ How the superconducting qubit breakthrough won the Nobel Prize in Physics\n✅ Why Nature wants to destroy quantum coherence and why quantum is fragile\n✅ From academic physics to building Google's quantum computer\n✅ The engineering challenge of scaling quantum computing beyond the lab\n✅ Why a lot of quantum computing hype has a low chance to work\n✅ How Qolab's fabless model could scale quantum hardware\nGuest Links:\nJohn Martinis: 2025 Nobel Prize laureate in Physics, superconducting-qubit pioneer, former\nGoogle quantum-hardware researcher, and founder and CTO of Qolab.\nNobel Prize profile: https://www.nobelprize.org/prizes/physics/2025/martinis/\nQolab: https://qolab.ai/\nFurther Reading and Resources\nGoogle Sycamore Quantum Processor - Google’s 2019 experiment used a 53-qubit\nsuperconducting processor to perform a specific random-circuit-sampling task substantially\nfaster than the then-known classical approach.\nNature research paper:\nhttps://www.nature.com/articles/s41586-019-1666-5\nGoogle Research explanation:\nhttps://research.google/blog/quantum-supremacy-using-a-programmable-superconducting-processor/\nArtificial Intelligence and Transformers – The Transformer architecture discussed in the\npodcast was introduced in the paper “Attention Is All You Need.”\nOriginal paper:...","thumbnail_url":"https://img.transistorcdn.com/jQPF4l9NFf0J8GE3ySmQUhKsdFs-I1vwVANYFaBaoL0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOGI1/OGFhMjdjOWMzMDhj/MGY4MGFiMDMyMmIx/Y2M4ZS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}