{"id":3785,"date":"2026-04-24T16:17:08","date_gmt":"2026-04-24T16:17:08","guid":{"rendered":"https:\/\/terrarara.com.br\/en\/?page_id=3785"},"modified":"2026-04-24T16:17:08","modified_gmt":"2026-04-24T16:17:08","slug":"ia-e-computacao-quantica-previsoes-que-ficam-assustadoramente-precisas","status":"publish","type":"page","link":"https:\/\/terrarara.com.br\/en\/?page_id=3785","title":{"rendered":"AI and quantum computing: predictions that turn scarily accurate"},"content":{"rendered":"
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Image via Freepik<\/a><\/figcaption><\/figure><\/div>
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\r\n\tdoi.org\/10.1126\/sciadv.aec5049<\/a>
Credibility<\/a>: 9<\/font>9<\/font>9<\/font>
#quantum computing<\/a><\/p>

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\r\nResearchers at University College London (UCL) have developed an innovative way of combining artificial intelligence with quantum computing, managing to predict the behavior of complex and chaotic systems with much more precision, stability and efficiency than traditional methods<\/strong><\/p>

This discovery, published in the journal Science Advances in April 2026, represents an important advance for areas such as climate prediction, medicine, energy and transportation.\r\n<\/p>

\r\nChaotic systems, such as the movement of liquids, gases and turbulence, are extremely difficult to predict because small changes can generate very different results over time.<\/p>

\r\nTypically, scientists have two options: run full simulations, which can take weeks on supercomputers, or use traditional AI models, which are faster but lose accuracy over time.\r\n<\/p>

\r\nThe new hybrid approach intelligently solves this problem.<\/p>

\r\nInstead of using the quantum computer all the time, researchers only employ it in one crucial step of AI training.<\/p>

\r\nThe quantum computer analyzes large volumes of data and identifies statistical patterns that remain stable even in chaotic systems.<\/p>

\r\nThese patterns, called invariant properties, are then used to train a conventional AI model on a supercomputer.\r\n<\/p>

\r\nThe results were impressive: the “quantum-informed” model was around 20% more accurate than the traditional version and maintained stability for much longer periods.<\/p>

\r\nAdditionally, it needs hundreds of times less memory, which makes it viable for large-scale simulations.\r\n<\/p>

\r\nThe secret lies in the unique properties of qubits, the basic units of quantum computing.<\/p>

\r\nUnlike classical bits, which are just 0 or 1, qubits can be in multiple states at the same time (superposition) and influence each other instantly (entanglement).<\/p>

\r\nThese characteristics allow even a small number of qubits to represent a huge set of possibilities, better capturing the chaotic nature of physical systems.\r\n<\/p>

\r\nProfessor Peter Coveney, senior author of the study, explained that this technique can be applied in many practical areas: predicting the weather more accurately, modeling blood flow in arteries, simulating the interaction between molecules or optimizing the design of wind farms to generate more energy.<\/p>

\r\nMaida Wang, first author, highlighted that this demonstrates a practical quantum advantage, that is, the quantum computer actually does something that the classical computer alone cannot do with the same efficiency.\r\n<\/p>

\r\nThe experiment was carried out with a 20-qubit quantum computer from the company IQM, connected to supercomputing resources at the Leibniz Supercomputing Center, in Germany.<\/p>

\r\nTo function, this equipment needs to be cooled to temperatures close to absolute zero, around -273\u00c2\u00b0C.<\/p>

\r\nDespite the current limitations of quantum computers (such as noise and errors), the team managed to overcome the problem by using quantum equipment only in a specific phase of the process.\r\n<\/p>

\r\nThis research paves the way for real-world applications in the near future and also inspires the development of new, even more powerful classical methods.<\/p>

\r\nNext steps include testing the system with larger data and real-world situations, as well as creating a more solid theoretical foundation.\r\n<\/p>

\r\nIn short, the union between AI and quantum computing is making predictions of complex systems much more reliable and faster.<\/p>

\r\nWhat once seemed like science fiction is now starting to become reality, promising significant impacts on how we understand and control the world around us.

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Published in 04\/24\/2026 16h17<\/em><\/p>\r\n

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Portuguese version<\/a><\/em><\/p>\r\n

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Text adapted by AI (Grok) and translated via Google API in the English version. Images from public image libraries or credits in the caption. Information about DOI, author and institution can be found in the body of the article.<\/p>\r\n\t\t

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