Speaker 0:  our current computer memory is burning a massive hole through the global power grid, but scientists just found a way to rewrite physics of a chip using raw quantum mechanics. this isn't a distant lab pipe dream. it's a new raw material that plugs right into existing silicon factories to make future memory up to a thousand times more efficient. so university of minnesota researchers successfully manufactured an ultra thin film of topological semimetal called pts pt three sn using standard factory techniques, this material leverages the quantum spin of electrons rather than their electrical charge to store data, cutting energy waste to near zero. this breakthrough provides a hardware foundation to solve the ai power crisis before it breaks our energy infrastructure. what do you think about this, john?

Speaker 1:  i love this. this is super cool. but let's let's talk about why let's try to understand why this discovery matters. and in order to do that, we need to understand the von neumann bottleneck. so what that is is virtually every computer today separates memory and processing into different physical locations. so when a processor needs data, it must retrieve it from memory, perform calculations, and then write the results back. so as workloads grow larger, the energy and time required for this constant movement of information becomes one of the largest limitations in computing. so in many modern systems, moving data consumes more energy than the actual calculations themselves. so this is especially problematic for ai because llms, so large language models, they process billions of parameters, and that requires massive memory bandwidth. so the more advanced the ai becomes, the worse the memory bottleneck becomes. and so the breakthrough material, belongs, and, like you said, in the class known as topological semionetal. so unlike conventional materials, electrons inside topological materials behave according to unusual quantum mechanical rules. magic. so they can move with extremely low resistance and exhibit unique magnetic and electronic behaviors that do not occur in ordinary semiconductors. and so the minnesota team, they successfully synthesized the thin film version of the material and elect its electronic characteristics in detail. and the importance of creating a thin film, it it it can't be overstated because many exotic materials have fascinating properties in laboratory crystals but are impossible to integrate into commercial semiconductor manufacturing, whereas thin films are the foundation of modern chip production. so creating this material as a thin film is a crucial step towards practical applications. what do you think about this? do you think this is going to help us solve the ai memory problem as it grows, or that's something that's gonna be shelved? or what are your thoughts? or maybe explain it in layman's terms.

Speaker 0:  well, in layman's terms, i think we've got it. but, we expect this out in ten to twenty years for mainstream consumer devices. but, yeah, i think this is real. it's backed by the us chips act. initial that immigration's cost will be absorbed by the foundries. so the us, has put, like, $52,000,000,000 behind some of these initiatives. yeah. it's not coming soon, but they're targeting up to a thousand times improvement in energy delay product compared to conventional cmos technology. yeah. and, yeah,

Speaker 1:  i didn't even talk about why this solves the memory problem. so instead of storing information in one place and processing it elsewhere, the potential computing in memory, it performs calculations directly where the data is stored. so you you remove those bottlenecks. sorry. i didn't, i left the the main part that it solves out, or the main solution.

Speaker 0:  so the chiral anomaly driving the material's unique properties was originally predicted by high energy particle physics working on abstract quantum field theory equations decades before anyone imagined it could be engineered inside a solid state computer chip at room temperature. the material score ingredients are a bizarre economic contradiction. it pairs platinum, one of the rarest, most expensive, metals on the earth with tin, but, cheap metal historically used with basic soup cans. so we'll have to see. the sputtering works beautifully in isolated university labs, but consistently growing uniform atom thick layers of multi element alloy across a massive 300 millimeter silicon wafer without a single crystal defect in, is an incredible difficult challenge to scale. so if they can solve that, i think we're looking at something very cool. so yeah. pt thanks. go ahead.

Speaker 1:  a lot of stuff that we cover may never become commercialized. right? and the semiconductor industry is extraordinarily conservative because manufacturing facilities cost tens of billions of dollars. so even if this material has exceptional properties, there's so many problems that it needs to solve. manufacturable at scale, reliable for years, compatible with existing fabrication processes, and economically viable. so, the history of computing itself, it's actually filled with remarkable materials that never left the laboratory. let's hope this is one that actually leaves the laboratory.

Speaker 0:  a p t three s n is the quiet quantum revolution that will keep our global computing infrastructure alive right when traditional silicon hits its absolute physical limits. do you think billions in, chips act funding should be spent on long term quantum material science like this, or should the money go straight to building more current gen factories right now? let us know in the chat below.