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Multiverse Computing Achieves 1,000 Citations for Quantum Finance Paper, Advancing AI Innovations

Multiverse Computing’s landmark paper on quantum finance surpasses 1,000 citations, driving its revolutionary CompactifAI technology that cuts AI model costs and energy by over 50%

Multiverse Computing has marked a significant milestone as its foundational paper, “Quantum Computing for Finance: Overview and Prospects,” published in 2019, has surpassed 1,000 academic citations. This achievement positions Multiverse Computing alongside industry leaders such as IBM, D-Wave, and IonQ, albeit with a distinct emphasis on quantum software. Authored by Román Orús, Enrique Lizaso, and Samuel Mugel, the paper established a framework for utilizing quantum principles to address real-world challenges in finance. “This paper was the starting point for everything we’ve built since,” stated Orús, who serves as the company’s Co-founder and Chief Scientific Officer.

The paper’s influence is noteworthy, particularly in the context of a competitive landscape dominated by hardware-focused research. Its emphasis on practical quantum software applications illustrates the potential for effective quantum solutions in the financial sector. Following its release, Multiverse Computing formed collaborations with prominent institutions including the Bank of Canada, BBVA, and Crédit Agricole, ultimately leading to the development of its current flagship technology, CompactifAI. This innovative quantum-inspired algorithm addresses AI model compression, achieving reductions in both cost and energy consumption by over half. “Deep physics-based approaches can unlock transformative gains in computation, even without relying on quantum hardware,” Orús noted.

Initially centered on applying quantum principles to financial models, the research has evolved into the development of CompactifAI, which addresses the pressing challenge of compressing large language models in contemporary AI applications. The collaboration with financial institutions has reinforced this trajectory, allowing Multiverse Computing to refine its approach and technologies.

Its compressed AI models use techniques derived from quantum computing, enabling the smooth implementation of large AI language models and other systems with more than half the cost and energy consumption without sacrificing performance.

Multiverse Computing

Based in San Sebastián, Spain, Multiverse Computing’s research has not only laid the groundwork for the company but has also been pivotal in establishing an early framework for the integration of quantum computing into finance. The paper’s significance extends beyond its citation count, distinguishing itself from many highly-cited studies that focus on hardware advancements rather than practical software applications.

As Multiverse Computing continues to innovate, the implications of its research and technologies reach far beyond the realm of finance. The increased recognition of quantum software applications presents an opportunity for further advancements in AI and machine learning, as industries increasingly seek efficient solutions to complex computational challenges. The company’s trajectory suggests a promising future, positioning it to play a central role in the evolving landscape of quantum technology.

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The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

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