San Sebastián, Spain, 3rd February 2026 — Leading AI model provider Multiverse Computing today announces that its seminal academic paper, Quantum Computing for Finance: Overview and Prospects, has surpassed 1,000 academic citations,marking a major milestone for both the company and the broader quantum computing and AI communities.
Published in 2019 and authored by Multiverse Computing co-founder and Chief Scientific Officer Román Orús, alongside ChiefExecutive Officer Enrique Lizaso and Chief Technical Officer Samuel Mugel, the paper laid out one of the first comprehensive frameworks for applying quantum computing to financial use cases. The research went on to become the scientific foundation upon which Multiverse Computing was built.
With more than 1,000 citations, the paper ranks among the most-referenced works in quantum computing, underscoring its significance and placing it alongside landmark publications from industry leaders such as IBM, D-Wave, IonQ and Quantinuum.
While many of the most highly cited papers in the field focus on quantum hardware, Multiverse Computing’s work stands out for demonstrating the real-world potential of quantum software applications, an area that is both more competitive and traditionallyharder to gain visibility within the academic community.
“This paper was the starting point for everything we’ve built since,” said Román Orús, Co-founder and Chief Scientific Officer at Multiverse Computing. “Our goal was to show that quantum computing could movebeyond theory and deliver practical value in finance. Seeing the research reach this level of impact is incredibly meaningful, not just academically, but as validation of the direction we took as a company.”
Following the publication of the paper, Multiverse Computing partnered with leading financial institutions including the Bank of Canada, BBVA and Crédit Agricole to explore quantum approaches to complex financial problems. Over time, the company evolved its focus, applying insights from quantum physics to develop quantum-inspired tensor network algorithms that run efficiently on classical hardware.
Today, that evolution underpins Multiverse Computing’s flagship technology, CompactifAI, which enables the extreme compression of large language models while preserving performance, addressing one of the most pressing challenges in modern AI deployment.
“The journey from quantum finance research to AI model compression reflects our core philosophy,” added Orús. “Deep physics-based approaches can unlock transformative gains in computation, even without relying on quantum hardware. This milestone highlights the scientific roots of that belief.”
The 1,000-citation achievement underscores Multiverse Computing’s position as a leading contributor to AI and quantum-inspired research, and reinforces the lasting impact of academic work that bridges theory and real-world application.
About Multiverse Computing
Multiverse Computing is an AI model provider and leader in AI model compression. 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. With a global presence, its headquarters are located in Donostia-San Sebastián, Spain, with offices in Canada, the United Kingdom, France, Germany, Italy, and the United States. Customers include world leading brands such as Iberdrola, Moody's Analytics, the Bank of Canada, and Telefonica. In 2025, Multiverse Computing was named one of the ‘100 Most Promising Companies in AI’ by CB Insights. It was also awarded ‘Future Unicorn 2024’ by Digital Europe.