Quantinuum has announced its Generative Quantum AI framework (Gen QAI), which utilizes unique quantum-generated data to address complex problems that classical computing cannot solve. This framework aims to bring commercial applications in areas such as new medicine development, financial market predictive modeling and real-time optimization of global logistics and supply chains.
Quantinuum’s H2 quantum computer has produced data that can be used to train AI systems, enhancing the accuracy of AI models. This development aims to set a new standard for AI training and problem-solving across various industries. “We are at one of those moments where the hypothetical is becoming real and the breakthroughs made possible by the precision of this quantum-generated data will create transformative commercial value across countless sectors. Gen QAI is a direct result of our full-stack capabilities and our leadership in hybrid classical-quantum computing, delivering an entirely new approach that stands to revolutionize AI,” said Raj Hazra, president and CEO of Broomfield-based Quantinuum.
Hazra will participate in an expert panel at the 2025 International Year of Quantum (IYQ) ceremony in Paris to discuss the Gen QAI development. “While some may suggest that a standalone quantum computer is still years away, the commercial opportunities from this breakthrough are here and now,” said Dr. Thomas Ehmer from the Healthcare sector of Merck KGaA, Darmstadt, Germany. “The generation of meaningful synthetic data, specifically when you do not have many training data, is nontrivial and we see it as a new era for AI unlocked by quantum technologies. The Helios system, launching later this year, will hopefully enable AI to be used in unprecedented ways and unlocking transformative potential across industries.”
Gen QAI takes advantage of quantum computing’s unique abilities to manage data complexities beyond the reach of classical computing systems. Quantinuum is partnering with various industries on Generative AI projects in automotive, pharmaceuticals and materials science sectors. Results from these collaborations will be shared in the coming months, highlighting the advancements in quantum-driven Generative AI.
One significant collaboration is with the HPE Group in Italy, focusing on applying quantum computing in the automotive sector. Enzo Ferrari, executive vice president of HPE Group, stated, “At HPE, we have a long-standing tradition of employing cutting-edge technologies for our clients in the motorsport industry. We are thrilled about our collaboration with Quantinuum, leveraging quantum-generated data for applications such as battery development, aerodynamic optimization, and fuel innovation.”
As quantum computing becomes increasingly relevant, Quantinuum expects its Helios system to enhance computational capabilities significantly, with operational readiness by mid-2025 for drug discovery and climate challenge solutions. The innovative Gen QAI capability will improve the use of Metallic Organic Frameworks for drug delivery, offering more efficient and personalized treatment options, with further details to be revealed at the Helios launch. This announcement also comes following Quantinuum’s expanded partnership with SoftBank, highlighting the company’s growing commercial focus.
