# IBM Simulates a Real Material for the First Time on a Quantum Computer > The field of applied quantum computing has seen remarkable acceleration in recent years, fueled by massive investment from major technology groups like - Author: Maxime Marquette - Publisher: MadMax (https://mad-max.co) - Section: Analysis - Published: 2026-07-07 - Canonical URL: https://mad-max.co/en/article/ibm-simule-pour-la-premiere-fois-un-vrai-materiau-avec-un-ordinateur-quantique ## Key takeaways - Cobalt fluoride was chosen because its properties are well documented, allowing direct comparison against validated reference data. - Classical supercomputers hit a wall when simulating even a few dozen or hundred interacting quantum particles, because the complexity grows exponentially. - Quantum computers, using qubits that can represent many states at once, are presented as well suited to simulating quantum systems. - The work is framed as a step toward discovering new materials, with possible uses in energy storage and superconductivity. - The article cautions that cobalt fluoride is relatively simple, and that error correction and error rates still limit industrial applications. ## A symbolic milestone for quantum computing ### A field that has been buzzing for years The field of **applied quantum computing** has seen remarkable acceleration in recent years, fueled by massive investment from major technology groups like **IBM**, as well as a growing number of specialized start-ups and university labs around the world. This surge reflects a growing conviction that **quantum computers** could soon outperform even the most advanced **classical supercomputers** on certain specific tasks. This announcement about **cobalt fluoride** fits into a long series of successive milestones, each aiming to demonstrate the practical viability of quantum computation on problems that increasingly resemble the real needs of industry and fundamental research in **materials science**. ### A very real magnetic crystal at the heart of the experiment Did you know that in **April 2026**, **IBM** reached a landmark moment in the history of **quantum computing** by announcing that its **quantum processor** had accurately simulated the behavior of a genuine **magnetic material**, **cobalt fluoride**? This achievement is no mere abstract academic exercise: it involves the faithful reproduction of the behavior of a real crystal, whose magnetic properties could then be compared against results obtained through classical experimental methods. This announcement marks an important step toward the practical use of **quantum computing** for **new material discovery**, a field where traditional computational methods quickly hit their limits when facing the complexity of interactions between subatomic particles within sophisticated crystal structures. ### Why cobalt fluoride was chosen as the test case The choice of **cobalt fluoride** as the reference material for this experiment was no accident: this magnetic crystal has physical properties that are well documented through traditional experimental research, which allowed **IBM**'s teams to directly compare the results produced by their quantum computer against solid reference data already validated by the scientific community. This rigorous methodological approach, consisting of validating a new technology against an already well-known case before tackling completely unexplored materials, represents an essential step in establishing the scientific credibility of quantum computing applied to materials science. *This kind of methodical caution commands respect: rather than chasing a splashy headline, the teams chose to patiently compare their fledgling tool against an already known benchmark, a reminder that solid science rarely advances in dramatic leaps, but through careful, repeated verification.* ## Why classical computers struggle with these materials ### The computational wall supercomputers keep hitting Even the most powerful **supercomputers** currently in operation worldwide, capable of performing billions of billions of operations per second, run into an impassable wall as soon as they try to precisely simulate the collective behavior of just a few dozen or a few hundred interacting **quantum particles**. The memory required to represent every possible state of such a system very quickly exceeds the physical capacity of any existing classical machine, or even one conceivable in the near future. This fundamental limit, known to **theoretical physicists** for decades, explains why simulating complex magnetic materials remained a largely theoretical goal for so long, until recent progress in **quantum processors** began to make that ambition genuinely achievable. ### The exponential complexity of quantum systems **Magnetic materials** like cobalt fluoride derive their properties from complex interactions between electron **spins**, a fundamental quantum property of subatomic particles. Precisely modeling the collective behavior of these constantly interacting spins presents a formidable computational challenge, because the complexity of these systems grows **exponentially** with the number of particles involved, quickly making the task impossible even for the most powerful **classical supercomputers** that exist today. It is precisely this combinatorial explosion that makes **quantum computers** so promising for this type of application: unlike classical computers, which process information sequentially using bits worth zero or one, quantum **qubits** can simultaneously represent a multitude of states, giving them a computational potential particularly well suited to simulating naturally complex quantum systems. ### A problem nature solves effortlessly, but classical computing struggles to imitate There is a certain irony to this situation: nature itself constantly "computes" the behavior of these magnetic materials through the laws of quantum physics, with no apparent effort, while our most powerful **classical computers** struggle to faithfully reproduce those same behaviors through numerical simulation. This observation inspired, from the earliest days of theoretical quantum computing, the founding idea that only a computer harnessing the laws of quantum physics itself could one day efficiently simulate other quantum systems. *There's something dizzying about the idea: using quantum mechanics itself as a tool to understand quantum mechanics, a bit like borrowing nature's native language to better converse with it, rather than attempting a clumsy, imperfect translation into classical binary code.* ## The context of a worldwide quantum computing acceleration ### Considerable public and private investment Several governments around the world have launched ambitious national programs to support **quantum computing**, viewed as a strategic technology for **technological sovereignty** and future industrial competitiveness. These public funds add to the massive private investments made by companies like **IBM**, **Google**, and numerous specialized start-ups, reflecting a growing consensus on the strategic importance of this field. This convergence of public and private interest creates a particularly dynamic research ecosystem, where breakthroughs follow one another at a steady pace, each one closely scrutinized by an international scientific community eager to validate, or temper, the most spectacular announcements. ### An increasingly intense international competition This announcement from **IBM** fits into a broader acceleration of **quantum computing** seen throughout **2026**, during which several research teams around the world demonstrated simulations of complex physical systems that would have been utterly impossible to handle with classical computers, no matter how powerful. This global scientific competition mobilizes both technology giants like IBM and university laboratories specializing in applied quantum physics. This competitive dynamic is driving considerable investment in the development of ever more capable **quantum processors**, able to manipulate a growing number of qubits while maintaining **quantum coherence** long enough to perform useful calculations before decoherence effects disrupt the results. *It's hard not to see, in this global race for the qubit, a mirror of the great technological rivalries of the last century: the same restlessness, the same blend of sincere scientific ambition and geopolitical calculation, where every nation is determined not to fall behind on a technology whose ultimate reach nobody yet fully understands.* ### Applications that go beyond the purely academic Beyond the scientific satisfaction of faithfully simulating a known material, this breakthrough opens up concrete prospects for discovering **new materials** with unprecedented properties, potentially useful for applications as varied as energy storage, higher-temperature **superconductivity**, or the design of new, more efficient and less energy-hungry electronic components. These potential industrial applications explain why so many technology companies are investing heavily in quantum computing applied to materials science, a sector regarded as one of the most promising for a practical, medium-term use of this still-emerging technology. ## The current limits of this promising technology ### The persistent challenge of quantum error correction One of the biggest technical obstacles still facing **quantum computing** remains **quantum error correction**, an entire field of research aimed at compensating for the intrinsic fragility of **qubits** in the face of environmental disturbances. Without significant progress in this area, the size and complexity of simulable systems will remain durably limited, regardless of the raw power of the quantum processor being used. **IBM**'s teams, along with its competitors, are investing heavily in **logical qubit** architectures, designed to combine several physical qubits into a more robust computing unit that is less sensitive to errors, an approach considered essential for one day achieving truly complex material simulations. ### A simulation still far from real industrial complexity It's worth tempering the enthusiasm sparked by this announcement: **cobalt fluoride** remains a relatively simple material compared to the complexity of the materials industry would ultimately like to design and simulate using quantum computing, such as sophisticated metal alloys or complex organic materials used in pharmacology. The road between this first successful demonstration and widespread industrial use remains long. Today's **quantum computers** also remain subject to significant error rates, tied to the intrinsic fragility of quantum states in the face of environmental disturbances, which for now limits the size and complexity of the systems they can reliably and reproducibly simulate. ### Necessary scientific caution amid media enthusiasm The field of **quantum computing** has at times suffered, in recent years, from a disproportionate **media frenzy** relative to the technical advances actually demonstrated in the lab. It is therefore essential to place this IBM announcement in its proper context: a successful demonstration on a specific, already well-documented test case, rather than an immediate, sweeping revolution in materials science. *It would be a mistake to give in to excessive optimism: every advance in quantum computing deserves to be celebrated for what it actually is, without attributing to it virtues it has not yet demonstrated at scale, lest we fall back into the cycles of dashed hopes that have sometimes marked the history of this technology.* ## What this breakthrough teaches us about the future of scientific computing ### A complement rather than a replacement for classical methods Contrary to a widespread misconception, **quantum computing** is not meant to simply replace **classical computers**, but rather to complement them in solving specific classes of problems where traditional methods structurally fail. The computing architectures of the future will very likely combine classical and quantum computing resources, each deployed for the tasks where it naturally excels. This hybrid vision, increasingly shared by researchers in the field, is already shaping how future computing systems for cutting-edge scientific research are being designed, with quantum computing stepping in to handle specific, particularly complex sub-problems. ### A scientific adventure that has only just begun This achievement by **IBM** perfectly illustrates the progressive, cumulative nature of scientific progress in quantum computing: every successful demonstration, however modest it may seem compared to the field's boldest promises, helps build the credibility and technical maturity needed to one day cross the threshold into truly transformative applications for industry and fundamental research. It will likely take many more years of research and engineering before quantum computing becomes a routine tool for discovering **new materials**, but each step forward, like the one achieved with **cobalt fluoride**, brings that prospect a little closer to a tangible reality that can be put to industrial use in tomorrow's laboratories and manufacturing plants alike. The coming years will tell whether this trajectory holds at the pace hoped for by **quantum physics researchers**, but the demonstration carried out by **IBM** on this magnetic crystal will, whatever happens next, remain a technical milestone cited as a reference by the international scientific community working on quantum computing applied to condensed matter. For curious readers following this field from the outside, the cobalt fluoride experiment offers a useful lesson in how to read scientific news responsibly: real progress in **quantum computing** tends to look unglamorous at first glance, built from careful comparisons against known benchmarks rather than sweeping claims of instant transformation. Understanding that distinction matters, because it is precisely this kind of patient, incremental validation that eventually turns a laboratory curiosity into a tool that **engineers** and **materials scientists** can actually trust and build upon. **By Maxime Marquette, columnist** ## Columnist's transparency note ### Editorial stance I am not a journalist but a **columnist and analyst**. My expertise lies in observing and analysing the geopolitical, economic and strategic dynamics that shape our world. My work is to take political strategies apart, to understand global economic movements, to put the decisions of international actors in context and to offer analytical perspectives on the changes that are redefining our societies. I do not claim the cold objectivity of traditional journalism, which stops at reporting facts. **I claim analytical clarity**, rigorous interpretation and a deep understanding of the complex issues that concern us all. My role is to give meaning to the facts, to place them in their historical and strategic context, and to offer a critical reading of events. ### Method and sources This text keeps the basic distinction between **verified facts and interpretive analysis**. The rule never changes: a factual claim is published only when a verifiable source supports it, and the sources this article actually used are listed under **Sources**, never here. **Primary source families** used by the publication, when the story has them: official statements from governments and international institutions, public statements by political leaders, reports from intergovernmental organisations, dispatches from recognised international news agencies. **Secondary source families**: specialised publications, internationally recognised news media, analyses from established research institutions, reports from industry organisations. When an article cites statistical, economic or geopolitical data, it comes from the institutions that produce it (intergovernmental organisations, central banks, national statistics offices), and the exact institution is named under **Sources**. ### Nature of the analysis The analyses, interpretations and perspectives in the analytical sections of this article are a **critical, contextual synthesis** based on the information available, the trends observed and the expert comments cited in the sources consulted. My role is to interpret these facts, to set them in the context of today's geopolitical and economic dynamics, and to give them a coherent meaning within the larger story of the changes shaping our time. These analyses reflect expertise built through continuous observation of international affairs and an understanding of the strategic mechanisms that drive global actors. This article describes a documented state of affairs on its publication date, not a prediction: later developments may shift its outlook. No update is promised in advance; when an article is corrected or completed, the change is dated in the text. ## Sources ### Primary sources - IBM Quantum — Simulation of cobalt fluoride on a quantum computer — April 2026 - Physical Review — Publications on quantum simulation of materials — 2026 - Nature — Research on quantum simulation — 2026 ### Secondary sources - Enerzine — Quantum computing news — 2026 - Olivier Ezratty — Analysis of the quantum ecosystem — 2026 - Futura Sciences — Understanding quantum simulation of materials — 2026 --- Source: Maxime Marquette, MadMax. When citing, name the author and link https://mad-max.co/en/article/ibm-simule-pour-la-premiere-fois-un-vrai-materiau-avec-un-ordinateur-quantique