{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"632nm","title":"How To Make Quantum Algorithms Cheaper | Craig Gidney on Magic-State Factories, Resource Estimates","html":"","width":"100%","height":180,"duration":7427,"description":"How do you actually make quantum algorithms work on real hardware?\nBuild your own quantum circuits in Crumble: https://algassert.com/crumble\nIn this episode, we speak with Craig Gidney of Google Quantum AI, whose work focuses on the practical realities of building fault-tolerant quantum computers. Gidney explains how seemingly small implementation choices, like how you perform arithmetic, can dominate the cost of entire quantum algorithms.\nWe explore why factoring small numbers like 15 in Shor's algorithm can be misleadingly easy, and why scaling to larger numbers requires dramatically more resources due to operations like modular multiplication. He breaks down how quantum circuits are often dominated by classical reversible logic, and why optimizing these routines is critical for making quantum computing viable.\nThe conversation covers quantum error correction, including why T gates are especially expensive, how magic state factories works, and how different hardware architectures change what “cost” even means. Gidney also explains how resource estimates for breaking cryptography have dropped by orders of magnitude and what drove those improvements.\nWe also dive into the tools he built, including Stim, Quirk, and Crumble, which help researchers simulate noise, visualize circuits, and track how errors propagate through complex systems. Gidney shares his unconventional path into the field, the role of intuition and tooling in discovery, and how software engineering shapes modern quantum research.\nWhether you’re interested in quantum computing, error correction, cryptography, or the engineering challenges behind scalable quantum systems, this episode offers a clear and grounded look at what it really takes to turn quantum algorithms into reality.\nFollow us for more technical interviews with the world’s greatest scientists:\nTwitter: https://x.com/632nmPodcast\nInstagram: https://www.instagram.com/632nmpodcast?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==...","thumbnail_url":"https://img.transistorcdn.com/GydlQqnUybBqv7mvA947eCIsz_CyOG8rEnboLv3Hs_I/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yOGMz/YTliMThlODIyYzYw/OGVjOWNiZWNlNmQ1/ZmQ0Ni5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}