In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
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In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
Episode 111: Majorana 1: Microsoft’s Quantum Leap Toward a Million Qubits
Entangled Things
43 minutes
7 months ago
Episode 111: Majorana 1: Microsoft’s Quantum Leap Toward a Million Qubits
In this episode of Entangled Things, Patrick and Ciprian discuss Microsoft's groundbreaking quantum leap—Majorana 1. This revolutionary quantum chip is built on the Topological Core architecture, leveraging topoconductors to stabilize and scale qubits like never before. Microsoft’s bold vision: quantum computers that solve industrial-scale problems in years, not decades. Join us as we explore how this innovation could lead to million-qubit quantum systems, unlocking breakthroughs from self-h...
Entangled Things
In Episode 126, Scott Genin, Vice President of Materials Discovery at OTI Lumionics, discusses the advancements and challenges in quantum materials discovery. The conversation covers the limitations of current material simulation methods, the role of AI, and the importance of training the next generation of quantum programmers. Scott emphasizes the need for efficient problem embedding in quantum chemistry and shares insights on the future of quantum computing in material science. Scott Genin ...
