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Artificial intelligence models We’ve been helping with predictions for a while now. Doctors, weather forecasters and stockbrokers are using artificial intelligence to try to peek into the future. Inside the Leibniz Supercomputing Center in Germany, researchers experimented with an artificial intelligence model and As much as a computer. Quantum computer Artificial intelligence helps With complex predictions that he cannot handle alone.
The research team from University College London, who They published their findings Writing Friday in the journal Science Advances, he says that one day, quantum computers could help AI models make fast and accurate predictions across a range of industries that would take ordinary computers weeks to figure out.
“The paper shows that for this type of study, even today’s relatively small and unreliable quantum devices can boost the predictions of traditional AI models,” Peter Coveney, a UCLA professor and co-author of the study, told CNET.
Quantum computers different from Ordinary computers In several ways, including the ability to perform simultaneous calculations rather than step-by-step calculations, and the use of qubits. While classical computers use bits as the smallest unit of data, with each representing either a zero or a one, quantum bits can represent a zero and a one simultaneously (superposition). Two qubits can also be linked together (entanglement).
Superposition and entanglement allow quantum computers to solve complex problems much faster than classical computers. But quantum computers are incredibly sensitive and must be kept at extremely low temperatures, making them impractical for everyday use.
But while today’s quantum computers are still experimental and often difficult, they could help AI solve big problems that would otherwise be too complex or time-consuming.
Quantum advantage
The AI model used in the study is housed on a supercomputer connected to a quantum computer at the research center.
The team used this setup to predict how gases and liquids in the system would move and interact over a long period. Climate science, medicine and urban engineering use this type of modeling.
“Our new method appears to demonstrate ‘quantum advantage’ in a practical way — that is, a quantum computer outperforms what is possible through classical computing alone,” said co-author Maida Wang, a doctoral student at UCLA. advertisement.
Quantum computers are incredibly sensitive. Even minor disturbances in the environment may disrupt calculations, so this technology is still mostly used in research laboratories.
Because quantum computing is still limited, the researchers conducted most of the study using a supercomputer. The AI model handled the data processing, then used a quantum computer for one step.
After completing the difficult calculations, the quantum computer handed the reins back to the AI model, so it could take care of everything else.
“Even today’s noisy and error-prone quantum devices can improve the performance of traditional machine learning algorithms trained on data from modern supercomputers,” Coveney said.
Solve big problems
Fitting an AI model to perform calculations on a quantum computer may seem strange, but there are already real examples of companies using this approach in healthcare.
In 2025, Google said Quantum echoes algorithm It can calculate the structure of molecules which could pave the way for future drug discovery. Also last year, the University of Toronto and Insilico Medicine Artificial intelligence is used with quantum computers To build molecules that target an “untreatable” form of cancer.
While challenges remain when it comes to ensuring the reliability of predictions, as well as the sheer size of the data sets involved, Coveney said quantum computers could improve complex predictions.
“We’re already working on real-world applications,” he said.