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 121: Breaking Barriers in Quantum Computing with István Szilveszter
Entangled Things
37 minutes
2 months ago
Episode 121: Breaking Barriers in Quantum Computing with István Szilveszter
In Episode 121 of Entangled Things, Patrick and Ciprian are joined by István Szilveszter, software engineer at Equal1. Together, they dive into the evolving world of quantum computing frameworks, the importance of developing industry standards, and the challenges of making quantum more accessible. From lowering barriers to entry to shaping the future of how we build and collaborate in quantum technologies, this conversation explores what it takes to turn bold ideas into practical innovation.&...
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 ...
