{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"#329 Izhar Medalsy: How AI Solves Quantum Computing\u2019s Biggest Problem","description":"Quantum computing has been \u201c5 years away\u201d for decades.   So what\u2019s actually holding it back? In this episode of Eye on AI, Craig Smith sits down with Izhar Medalsy, Co-founder &amp;amp; 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\u2019s 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\u2019s Turning Point)&amp;nbsp;  (01:03) Why Quantum Hardware Alone Isn\u2019t Enough&amp;nbsp;  (03:50) Digital Twins Explained (The Missing Layer)&amp;nbsp;  (08:09) The Real Problem: Noise, Instability &amp;amp; Environment&amp;nbsp;  (15:43) From 80% to 99% on Shor\u2019s Algorithm&amp;nbsp;  (26:36) How AI Is Fixing Quantum\u2019s Biggest Bottleneck&amp;nbsp;  (33:53) Inside the Platform: From Circuit to Optimization&amp;nbsp;  (40:51) Logical Qubits &amp;amp; Scaling Quantum Systems&amp;nbsp;  (43:34) The Limits of Simulation vs Real Quantum Hardware&amp;nbsp;  (54:29) When Quantum Becomes Useful (Real Timeline) ","author_name":"Eye On A.I.","author_url":"http:\/\/www.eye-on.ai","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/40678375\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/item\/40678375"}