Multiverse pushes classical frontier of quantum simulation
The team developed a simulation framework using tensor networks and GPU acceleration, experimentally validating a 120-qubit quantum simulation.
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AI model compression and optimization software provider
multiversecomputing.comLast updated
In short: Multiverse released highly efficient compressed AI models and prepared a €500M funding round to expand its quantum and edge computing leadership.
The team developed a simulation framework using tensor networks and GPU acceleration, experimentally validating a 120-qubit quantum simulation.
The paper, covered by Live Science, used quantum hardware to improve a production-scale LLM, marking a milestone toward practical quantum AI applications.
The consortium aims to build a sovereign AI gigafactory in France, with partners like Scaleway, Orange, and EDF.
They embedded quantum circuits in Llama 3.1 8B, improving perplexity by 1.4% on real IBM quantum hardware.
Multiverse Computing, based in San Sebastián and with more than 500 employees, is dedicated to quantum computing and has an open round of...
Multiverse Computing is preparing a funding round to raise 500 million and give up a third of the capital. It expects to close it in the second half of the year...
The startup closes a new alliance with Arquimea seeks to develop solutions to operate without cloud connection in hostile environments through...
For investors, the post suggests Multiverse Computing is focusing on competitive performance in code-related large language models, a segment relevant for software development and automation...
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