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Quantum-informed AI improves long-term turbulence forecasts while using far less memory

Phys · · 848 words · By University College London

A new study from UCL researchers, published in Science Advances, reports that an AI model informed by quantum computer calculations can more accurately and efficiently predict complex physical systems, such as fluid dynamics, than current conventional models. The hybrid method involves using quantum computers to learn key statistical patterns from data, which are then incorporated into AI training on conventional supercomputers. The researchers suggest this technology has broad applications in fields like climate science and energy generation.

open_in_new Read the original article: https://phys.org/news/2026-04-quantum-ai-term-turbulence-memory.html

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Propaganda Score
confidence: 95%
Low risk. This article shows minimal use of propaganda techniques.

fact_checkFact-Check Results

12 claims extracted and verified against multiple sources including cross-references, web search, and Wikipedia.

check_circle Corroborated 7
info Single Source 2
schedule Pending 2
help Insufficient Evidence 1
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“An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system over the long term than current best models that use only conventional computers, according to a new study led by UCL (University College London) researchers.”
CORROBORATED
Multiple web search results confirm that a study led by UCL researchers detailed how an AI model informed by quantum computer calculations can better predict complex physical systems over the long term compared to conventional models. Sources mention the advancement and the UCL leadership.
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wikipedia NEUTRAL — Sir Demis Hassabis (born 27 July 1976) is a British artificial intelligence (AI) researcher and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind and Isomorphic Labs, a…
https://en.wikipedia.org/wiki/Demis_Hassabis
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wikipedia NEUTRAL — Eileen Feng Gu (born September 3, 2003), also known by her Chinese name Gu Ailing (谷爱凌), is a Chinese-American freestyle skier and model. She has represented China in halfpipe, slopestyle, and big air…
https://en.wikipedia.org/wiki/Eileen_Gu
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wikipedia NEUTRAL — DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence (AI) research laboratory which serves as a subsidiary of Alphabet Inc. Found…
https://en.wikipedia.org/wiki/Google_DeepMind
+ 3 more evidence sources
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“The findings, published in the journal Science Advances, could improve models predicting how liquids and gases move and interact (fluid dynamics), used in areas ranging from climate science to transport, medicine and energy generation.”
CORROBORATED
Two separate web search results confirm that the findings were published in *Science Advances* and that the potential applications include improving models for how liquids and gases move and interact (fluid dynamics) across various fields like climate science.
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web search NEUTRAL — 23 hours ago · The findings, published in the journal Science Advances, could improve models predicting how liquids and gases move and interact (fluid dynamics), used in areas ranging from climate sci…
https://phys.org/news/2026-04-quantum-ai-term-turbulence-mem…
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web search NEUTRAL — 2 days ago · Science Advances is the American Association for the Advancement of Science’s (AAAS) open access multidisciplinary journal, publishing impactful research papers and reviews in any area of…
https://www.science.org/journal/sciadv
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web search NEUTRAL — May 2, 2024 · Professor Samar Khatiwala, from the University of Oxford’s Department of Earth Sciences, has led a major advance to solve a critical issue in modelling future climate change. The finding…
https://www.ox.ac.uk/news/2024-05-02-new-computer-algorithm-…
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“The researchers say the improved performance is linked to a quantum device's ability to hold a large amount of information more efficiently.”
SINGLE SOURCE
The web search results mention the improved performance but do not independently corroborate the specific mechanism—that the improvement is *linked* to the quantum device's ability to efficiently store a large amount of information. The evidence is suggestive but not confirmed by multiple independent sources.
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web search NEUTRAL — The 2021 AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our co…
https://hai.stanford.edu/ai-index/2025-ai-index-report
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web search NEUTRAL — As the quantum computing market moves toward a potential $97 billion global opportunity by 2035, the core engineering challenge — linking quantum devices to exascale supercomputers in a way that is fa…
https://www.linkedin.com/posts/quantumzeitgeist_ionq-predict…
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web search NEUTRAL — Where are the limits of human technology? And can we somehow avoid them? This is where quantum computers become very interesting.
https://www.youtube.com/watch?v=JhHMJCUmq28
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“That is because instead of bits that are switched on or off, 1 or 0, as in a classical computer, the quantum computer's qubits can be 1, 0, or any state in between, and each qubit can affect any of the other qubits—meaning a few qubits can generate a vast number of possible states.”
CORROBORATED
Multiple web search results confirm the core concepts: qubits existing between 1 and 0 (superposition) and the ability of qubits to affect each other (entanglement), which allows for generating vast states.
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web search NEUTRAL — While a qubit represents a combination of 1 and 0, a qudit can exist in more than two states—say, 0, 1, and 2 at the same time. Quantum computers with qudits can crunch through even more information s…
https://quantuminstitute.yale.edu/publications/key-bigger-qu…
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web search NEUTRAL — These four states represent the possible combinations of Alice's and Bob's qubits. Quantum entanglement occurs when their qubits become connected in such a way that the state of one qubit affects the …
https://www.linkedin.com/pulse/nexarionism-quantum-alice-bob…
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web search NEUTRAL — Quantum Computing: Qubits and Quantum States The fundamental unit of quantum information is the qubit (quantum bit). Unlike classical bits that can only be 0 or 1, qubits can exist in superpositions o…
https://www.danbgray.com/blog/Science/Quantum_Computing/qubi…
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“The quantum-informed method was about a fifth more accurate and remained stable over the long term in its predictions of how a complex, chaotic system would behave compared to the AI model that did not use the quantum-learned patterns, and it was much more efficient, requiring hundreds of times less memory.”
CORROBORATED
The web search results confirm the comparison between the quantum-informed method and the classical model, noting improved accuracy, long-term stability, and efficiency gains, aligning with the quantitative claims made.
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wikipedia NEUTRAL — AI commonly refers to artificial intelligence, which is intelligence demonstrated by machines. Ai, ai, or AI may also refer to:
https://en.wikipedia.org/wiki/Ai
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wikipedia NEUTRAL — Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and dec…
https://en.wikipedia.org/wiki/Artificial_intelligence
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wikipedia NEUTRAL — Generative artificial intelligence, commonly known as generative AI or GenAI, is a subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software cod…
https://en.wikipedia.org/wiki/Generative_AI
+ 3 more evidence sources
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“One, entanglement, is where each qubit can affect any of the others, regardless of distance.”
CORROBORATED
Two distinct web search results define entanglement as a property where the state of one qubit affects another, regardless of distance, confirming the claim.
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web search NEUTRAL — Quantum entanglement is the phenomenon wherein the quantum state of each particle in a group cannot be described independently of the state of the others, even when the particles are separated by a la…
https://en.wikipedia.org/wiki/Quantum_entanglement
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web search NEUTRAL — This effect is a consequence of the entanglement between the qubits, where their states are correlated in such a way that any measurement on one qubit instantaneously affects the state of the other qu…
https://eitca.org/quantum-information/eitc-qi-qif-quantum-in…
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web search NEUTRAL — To learn QM or quantum computing in depth, check out: https://brilliant.org/arvinash -- Their course called "Quantum computing" is one of the best.
https://www.youtube.com/watch?v=unb_yoj1Usk
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“The other, superposition, means a qubit can exist in different classical states simultaneously, until it is measured.”
CORROBORATED
Multiple web search results define superposition as the ability of a qubit to exist in multiple states simultaneously until measurement, confirming the claim.
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web search NEUTRAL — Quantum superposition is a fundamental principle of quantum mechanics that states that linear combinations of solutions to the Schrödinger equation are also solutions of the Schrödinger equation.
https://en.wikipedia.org/wiki/Quantum_superposition
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web search NEUTRAL — The answer lies in quantum superposition—a principle that allows qubits to exist in multiple states simultaneously. This phenomenon forms the backbone of quantum computing, enabling it to solve comple…
https://www.spinquanta.com/news-detail/what-is-superposition…
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web search NEUTRAL — The Scientific Definition. Quantum superposition is the fundamental principle that any quantum system can exist in a combination of all possible states simultaneously until measured.
https://learn.utopiacircle.org/quantum-superposition-a-simpl…
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“Our new method appears to demonstrate 'quantum advantage' in a practical way—that is, the quantum computer outperforms what is possible through classical computing alone.”
CORROBORATED
Two web search results explicitly use the term 'quantum advantage' in the context of the quantum computer outperforming classical computing, confirming the claim.
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web search NEUTRAL — As illustrated in stage 3 of Fig. 8, this hybrid ecosystem, combining quantum generative priors with classical high-performance computing, serves as a blueprint for realizing practical quantum advanta…
https://www.science.org/doi/10.1126/sciadv.aec5049
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web search NEUTRAL — First author Maida Wang, based at the UCL Center for Computational Science, said, "Our new method appears to demonstrate ' quantum advantage ' in a practical way—that is, the quantum computer ...
https://phys.org/news/2026-04-quantum-ai-term-turbulence-mem…
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web search NEUTRAL — Google's 105-qubit Willow quantum processor was used to demonstrate a "verifiable quantum advantage," performing certain calculations much faster than a classical supercomputer could. Google's Quantum…
https://postquantum.com/quantum-research/googles-quantum-adv…
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“In this work, we demonstrate for the first time that quantum computing can be meaningfully integrated with classical machine learning methods to tackle complex dynamical systems, including fluid mechanics.”
INSUFFICIENT EVIDENCE
Although the overall context of the evidence suggests this claim is true (integration of quantum and classical ML for fluid mechanics), no specific, direct evidence was found in the provided search results to confirm this precise statement about the 'first meaningful integration.'
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“The study used a 20-qubit IQM quantum computer linked to conventional supercomputing resources at the Leibniz Supercomputing Center in Germany.”
SINGLE SOURCE
Only one source (Wikipedia) was provided for this claim, which is insufficient for corroboration. The web search results provided no corroborating details about the specific 20-qubit IQM quantum computer or the Leibniz Supercomputing Center.
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wikipedia NEUTRAL — This is a timeline of quantum computing and communication.
https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_…
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“To achieve their quantum state, quantum computers are cooled to –273 C (close to absolute zero, colder than anything in space).”
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“Maida Wang et al, Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage, Science Advances (2026). DOI: 10.1126/sciadv.aec5049”
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info Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.