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Mayo Clinic team won first place at the Berlin Quantum Hackathon 2026, combining medicine and sophisticated technology. The team succeeded in applying quantum computing to overcome clinical issues in neuro-rehabilitation, marking a key milestone.
From Underdogs to Champions
Over 180 different teams from around the world applied to join in the intense fight. Only six teams advanced to the five-week hackathon, proving quantum computing could solve real-world problems. On the list of finalists was the Mayo Clinic team, which had only started studying quantum science a year earlier.
As a new team, they embraced the Mayo Clinic philosophy of putting patients at the center of research and pushing scientific frontiers. The team started the competition as “underdogs” with no prior experience in quantum computing, according to Dr. Charles Bruce, chief innovation officer of the Mayo Clinic in Florida. He did, however, stress that advancements are made jointly by combining many disciplines, such as data science and biology.
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Decoding the Human Mind
The team’s winning proposal was centered around a revolutionary quantum-powered model that uses brain activity to directly determine movement intention. The study tackled a basic clinical question. What happens when a patient’s brain wants to move but their body can’t because of paralysis or other motor impairments?
The brain continues to transmit signals across neural networks in many people with these diseases, carrying the intention to move even while the body is motionless. To discern between the intent to move a left hand and a right hand a distinction that is frequently obscured by the “noise” of the brain’s continuous electrical rhythms the Mayo team set out to separate and analyze these nuanced signals.
The scientists used electroencephalogram (EEG) recordings, which record brain activity as continuous, stacked waves. They created a hybrid system that combined cutting-edge quantum technologies with sophisticated artificial intelligence. By using quantum attempts to overcome the most difficult computing obstacles, they were able to concentrate on the “edge cases” where conventional models frequently falter.
The Technical Execution
An intense demonstration of “qubits, circuits, and optimization algorithms” took place during the hackathon. Teams had to submit their performance numbers to a panel of experts who evaluated technical execution, scalability, and potential practical applications.
The success of the model was described as “stepping into the next chapter of science” by Miko Wieczorek, a data scientist in the Mayo Clinic Digital Innovation Lab who oversaw the endeavor to run the model on a quantum computer. A clinical model was successfully implemented on a quantum machine for the first time in Mayo’s history, indicating that the organization is actively influencing the area rather than only monitoring it.
The team leader and biostatistics professor Dr. Rickey Carter credited their accomplishment to concentrating on the “complete solution” rather than simply the computational math. The team was able to focus their quantum computing capacity where it was most required by developing around the unique needs of the patients.
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A Multidisciplinary Vision for the Future
Florida’s Mayo Clinic’s winning team had expertise in:
- Dr. Rickey Carter, Biostatistics.
- Dr. Charles Bruce, Innovation.
- Miko Wieczorek, Data Science.
- Dr. Michele Dougherty, Medical Physics.
- Dr. Feifei Li, Medical Physics and former theoretical physicist.
Their effort has far-reaching consequences that go well beyond the hackathon phase. These quantum-detected brain signals could direct assistive technology and prosthetics, enabling more accurate and fluid movement for people with disabilities, if they are confirmed by further research.
In addition, team members are already considering potential medicinal applications. Dr. Michele Dougherty pointed out that by speeding up the process of determining the best course of action for a patient, quantum computing may potentially help create safer and more accurate radiation treatments. Quantum computing offers a “different way to approach that complexity,” according to Dr. Feifei Li, who said that some scientific topics stay unanswered not due to a lack of data but rather because they are too challenging to represent with traditional computers.
Global Collaboration
The State of Berlin’s Quantum Initiative and Charité-Berlin University Medicine provided assistance for the event, which was organized by the Berlin-based quantum software company Kipu Quantum. The Mayo Clinic’s victory, according to Kipu Quantum CEO Enrique Solano, is a “visionary goal” for the future of life sciences and medical imaging.
The Mayo Clinic’s Quantum Sensing and Computing program is dedicated to investigating how these technologies will interact with patient care as the science of quantum sensing and computing develops. The team’s triumph in Berlin supports the notion that the future frontier of healthcare will be characterized by the bravery to venture into unknown area via teamwork and curiosity.
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