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 ...
All content for Entangled Things is the property of Entangled Things and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 113: Entangled at a Distance: The Oxford Breakthrough
Entangled Things
37 minutes
6 months ago
Episode 113: Entangled at a Distance: The Oxford Breakthrough
In episode 113, Patrick and Ciprian unpack a major milestone in quantum teleportation from Oxford University, where scientists successfully linked two quantum processors using photons to collaboratively run algorithms across distance. They explore how this breakthrough advances distributed quantum computing, including teleportation between atomic ensembles and even logical operations—bringing us closer to scalable quantum systems.
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 ...
