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 123: Himadri Majumdar on Scaling Quantum with Spin Qubits
Entangled Things
39 minutes
1 month ago
Episode 123: Himadri Majumdar on Scaling Quantum with Spin Qubits
In Episode 123 of Entangled Things, Patrick and Ciprian talk with Himadri Majumdar, Co-Founder and CEO of SemiQon, about scaling quantum with silicon spin qubits. Himadri shares how SemiQon is bridging research and industry, supporting academia, and advancing cryo-CMOS-compatible processors. The discussion covers the advantages of spin qubits (scalability, speed, and efficiency), as well as the challenges of improving fidelity. They also explore European quantum initiatives, internships, hybr...
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 ...
