Building a Robust Research Ecosystem
A global ecosystem of universities, labs, and industry partners
With integrated, full-stack technology, we can help achieve your research goals
How Can We Help You with Your Project?
With integrated, full-stack technology, Quantinuum is poised to help you achieve your research goals. Theoretical physics? Chemistry? Biology? Optics? Autonomous and adaptive systems? Whatever your field of study, we are certain we can work together to advance your research.
Where others have gone before…
Let these case studies stimulate your imagination and open your mind to the possibilities of a quantum collaboration:
Samsung
The electronics industry leader teamed up with Imperial College London researchers to investigate new materials using the Quantinuum H1, Powered by Honeywell.
Nippon Steel
The global steel manufacturer collaborated with Cambridge Quantum and Honeywell Quantum Solutions to optimize scheduling.
BMW
The BMW Group and Entropica Labs are investigating real-world logistic benchmark problems with the help of Honeywell Quantum Solutions.
What we offer
Access to our high-performing quantum systems
Select customers can arrange access to our high-performing and uniquely differentiated quantum computers.
We can assist you in designing a quantum solution to some of today’s most difficult computational problems. We want to be a collaborator in expanding the entire quantum ecosystem for everyone, and this is one way we can achieve this. Let us partner with you in producing your research and publications.
Scientist
team member
Dr Mattia Fiorentini
Head of Machine Learning and Quantum Algorithms
Dr. Mattia Fiorentini leads the research on high-impact applications of quantum algorithms for near-term hardware. His main focuses are Machine Learning, Optimization, and financial time-series forecasting. His team’s advancements in Quantum Machine Learning (QML) are published regularly in scientific peer-reviewed journals. The QML methods that he and his team have discovered are being applied to address crucial challenges in the Financial, Energy, Manufacturing, Logistics, and Life-science sectors. Previously, Mattia gained a PhD in Theory and Simulation of Condensed Matter from King’s College London, where he researched first-principle electronic transport with high-performance computing.
