
4 segments available
Full Episode: https://youtu.be/4GLSzuYXh6w Read the transcript: https://www.dwarkeshpatel.com/p/satya-nadella Apple Podcasts: https://podcasts.apple.com/us/podcast/satya-nadella-microsofts-agi-plan-quantum-breakthrough/id1516093381?i=1000694050135 Spotify: https://open.spotify.com/episode/2Ru9vFJOuYKSHnxABBgAm3?si=iUhseh2VQoKU7-sThdm0Eg To sponsor a future episode, visit https://dwarkeshpatel.com/p/advertise
Satya Nadella discusses the groundbreaking achievement of fabricating a million-cubit quantum computer on a chip, emphasizing the significance of Majorana zero modes. He explains how this physics breakthrough is essential for building a utility-scale quantum computer, likening it to the transistor moment in computing history.
"I believe this is it right here that is it yeah yes I mean to think of the the fact that we were able to build a million uh Cubit quantum computer in a thing of this size is just unbelievable like I m..."
Nadella elaborates on the importance of reliable fabrication techniques for quantum chips, specifically the Majorana chip. He highlights the transition to a new phase of matter that allows for the reliable measurement and storage of quantum information, paving the way for practical quantum computing.
"what led us to those Mayana uh zero modes as the thing to go um which was theorized in the 1930s and so so the question was can we actually physically fabricate these things can we actually build them..."
In this segment, Nadella provides insights into the estimated timeline for scaling quantum computing technology, suggesting that by 2027-2029, we could see the first fault-tolerant quantum computers. He discusses the integration of quantum gates into circuits and the implications for future computing capabilities.
"now that we have it we feel like with that core foundational um fabrication technique uh out of the way we can start building a myana chip uh that myana one which I think is going to basically be the ..."
Nadella explores the relationship between AI and quantum computing, describing how AI can act as an emulator for quantum simulations. He emphasizes that quantum computing will complement classical computing, particularly in fields like chemistry and physics, and discusses the potential for AI to enhance quantum data generation.
"what does the mor law here if you've got the first transistor look like like we've obviously been working on this for 30 years I'm glad we now have uh the fabrication the physics breakthrough and the ..."