{"podcast":{"title":"Eye On A.I.","slug":"eye-on-ai","podcast_index_feed_id":832104,"rss_url":"https://aneyeonai.libsyn.com/rss","website_url":"http://www.eye-on.ai","image_url":"https://static.libsyn.com/p/assets/0/2/1/3/0213c7d9616b570b16c3140a3186d450/LOGO_1400x1400.jpg","author":"Craig S. Smith","episode_count":359,"summary":"Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.","last_synced_at":"2026-06-30T04:19:30.572988+00:00","page_url":"https://stenobird.com/podcast/eye-on-ai"},"episode":{"title":"#329 Izhar Medalsy: How AI Solves Quantum Computing's Biggest Problem","slug":"329-izhar-medalsy-how-ai-solves-quantum-computing-s-biggest-problem","published_at":"2026-03-31T20:00:00+00:00","page_url":"https://stenobird.com/podcast/eye-on-ai/329-izhar-medalsy-how-ai-solves-quantum-computing-s-biggest-problem","show_page_url":"https://stenobird.com/podcast/eye-on-ai","url":"https://aneyeonai.libsyn.com/329-izhar-medalsy-how-ai-solves-quantum-computings-biggest-problem","audio_url":"https://dts.podtrac.com/redirect.mp3/pscrb.fm/rss/p/pdst.fm/e/arttrk.com/p/VI4CS/prfx.byspotify.com/e/mgln.ai/e/p58841/pscrb.fm/rss/p/traffic.libsyn.com/secure/aneyeonai/Eye_on_AI_12_audio_f3.mp3?dest-id=727317","summary":"Quantum computing has been \"5 years away\" for decades. So what's actually holding it back? In this episode of Eye on AI, Craig Smith sits down with Izhar Medalsy, Co-founder & CEO of Quantum Elements, to break down the real bottleneck in quantum computing today and why the future of the industry may depend more on classical systems and AI than quantum hardware itself. Izhar explains how digital twins of quantum systems are being used to simulate real hardware, generate massive amounts of training data, and solve one of the biggest challenges in the field: noise and error correction. They dive into how his team improved Shor's Algorithm from 80% to 99% accuracy on IBM hardware, without changing the hardware itself, and what that means for the future of quantum performance. The conversation also explores how AI is being used to optimise quantum systems, why classical computing will continue to play a central role in quantum development, and what milestones to watch as the industry moves closer to real-world applications. If you want to understand where quantum computing actually stands today and what will unlock its next phase, this episode gives you a clear, grounded perspective. Subscribe for more conversations with the people building the future of AI and emerging technology. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) The 99% Accuracy Breakthrough (Quantum's Turning Point) (01:03) Why Quantum Hardware Alone Isn't Enough (03:50) Digital Twins Explained (The Missing Layer) (08:09) The Real Problem: Noise, Instability & Environment (15:43) From 80% to 99% on Shor's Algorithm (26:36) How AI Is Fixing Quantum's Biggest Bottleneck (33:53) Inside the Platform: From Circuit to Optimization (40:51) Logical Qubits & Sc…","meta_description":"Quantum computing has been \"5 years away\" for decades. So what's actually holding it back? In this episode of Eye on AI, Craig Smith sits down with Izhar…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3671,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/eye-on-ai/episodes/329-izhar-medalsy-how-ai-solves-quantum-computing-s-biggest-problem/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/eye-on-ai/329-izhar-medalsy-how-ai-solves-quantum-computing-s-biggest-problem.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}