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Technologys evolution is often a permutation of several existing combinations. One of those pairings in todays computing environment is artificial intelligence and quantum computing, with the latter supplying efficiency and reduced resource usage.

At the forefront of this intersection is quantum computing software company Multiverse Computing S.L.

The real idea was, OK, we have AI systems that are expensive to train they are large andso on, and could we just prepare something that isnot only smaller, because you have to fit the system somewhere,but also consumes less energy, saidEnrique Lizaso(pictured), co-founder and chief executive officer of Multiverse Computing. We analyzedthe problem and said, Yes, this is a particular problem that fits into quantum computing. Then,at some point somebody inside thecompany suggested, OK, we have done that in the manufacturing line can we apply that to LLMs?'

Lizaso spoke with theCUBE Research principal analyst Rob Strechayat the Supercloud 6: AI Innovators event, during an exclusive broadcast on theCUBE, SiliconANGLE Medias livestreaming studio. They discussed the transformative potential of harnessing AI and quantum computing to streamline industrial and enterprise operations.

Often seen as trailing behind tech giants such as the United States and China, Europe is now asserting its presence in the quantum and AI domains. Multiverse Computings recent successful funding round highlights the continents commitment to pushing boundaries in these fields.

The companys ethos sheds light on thepotential for quantum-inspired techniques to reshape industries beyond the realm of tech giants.From defect detection in manufacturing to real-time patient monitoring in healthcare and injury prediction in sports, the applications are vast and transformative, according to Lizaso. The core principle, however, remains constant: making AI more accurate, efficient and cost-effective.

I think that two days ago, there was some newsin the Financial Times about Iran using 20% of the electricityproduction just for data centers, Lizaso said. The demandfor new data centers and also for more performance from the data centers isescalating super fast.So, they say, OK, we have to apply the data centers touse green energy. [But] the AIelectricity consumption isescalating so fast that even if you put all the resources of greenelectricity you have now, you are not going to cope with the demand.

A pressing concern in AI deployment is the integrity of models, particularly in scenarios such as customer service where misinformation can have severe consequences. Multiverse Computings upcoming solution promises to address this by enabling models to selectively forget information, mitigating the need for costly retraining due to data errors or privacy violations, according toLizaso.

We thought that, OK, thosequantum techniques make a representation of the distribution of the knowledge insidea [large language model], he said. From a different point of view,I mean the systems authorization you can just extract,eliminate some parts of information with more precision.This is super important [our new solution] is going toappear in the next months. So, its not only about compressing and making cheap thingscheaper, but also to do that.

Heres the complete video interview, part of SiliconANGLEs and theCUBE Researchs coverage of the Supercloud 6: AI Innovators event:

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Unpacking the AI and quantum computing convergence - SiliconANGLE News