Finnish physicists have presented an algorithm capable of disassembling structures in seconds that were previously considered “impossible” even for supercomputers. Let’s find out why this is important for Russia.
- 🧩 How a task that was considered impossible appeared class=»notranslate»>__GTAG8__ There has long been a paradox in the world of quantum technology: to create new quantum devices, you need exotic materials, but their behavior is almost impossible to calculate. This is especially true of quasicrystals—structures where order and chaos are so closely intertwined that mathematical models grow to quadrillion-dollar data sets. For comparison: even the most powerful supercomputers in the world are not capable of processing such volumes in a reasonable time. This is where the work of a research group at Aalto University (Finland) comes in, which has proposed an algorithm inspired by the principles of quantum mechanics. It allows you to simulate highly complex materials almost instantly — we are talking about hundreds of millions of structure nodes processed in seconds. ⚙️ What Finnish researchers did and why it is important The team led by Jose Lado decided to abandon the classic approach of “calculating everything directly.” Instead, they used techniques similar to those used in quantum computers: tensor networks, which allow them to work with exponentially larger state spaces. According to the project participants, the new algorithm: is capable of simulating quasicrystals with more than 268 million nodes , which was previously considered unattainable; opens the way to the creation of materials with the supermoire effect, which can become the basis for topological qubits; allows you to design electronics without wasting energy, which is critical for data centers and AI infrastructure. The study was published in Physical Review Letters — one of the most authoritative journals in physics. 🧠 Author's analytics: why this event is not just scientific news 1. Quantum materials are the foundation of future electronics Today's processors are limited by heat dissipation. Data centers in Russia and the world spend billions of rubles on cooling. Materials that conduct current without loss can radically reduce energy costs. 2. The algorithm solves the problem that hindered the development of quantum technologies Materials modeling is the bottleneck of the entire industry. If it is expanded, it will be possible to design new quantum devices faster and cheaper. 3. Russia can benefit The country is actively developing the areas of quantum communications and quantum sensors. The ability to model materials without huge computational costs makes research more accessible to universities and laboratories with limited budgets. 4. This is a step towards practical quantum computers Finnish scientists emphasize that the algorithm can be adapted for real quantum machines when they become sufficiently accurate. This means that quantum computers will have their first widespread application — modeling materials. 📚 A little history: why quasicrystals are so complex Quasicrystals were discovered in the 1980s and became a sensation: structures that do not repeat periodically, but still have strict symmetry. They are rare in nature, but have unique properties — from unusual conductivity to resistance to deformation. Modeling them has always been a problem: to describe the structure, you need to take into account a huge number of relationships. That is why the emergence of an algorithm that works with such systems in seconds is a “paradigm shift” event. 🌐 Reaction of the industry and social networks The Twitter/X scientific communities are discussing that this is “the first real example of a quantum approach that outperforms classical methods not by percentages, but by orders of magnitude.” European technology companies see this as a chance to speed up the development of quantum chips. Russian materials science experts note that the algorithm can become a tool for designing next-generation superconductors. 📈 How will this affect the quantum technology market class=»notranslate»>__GTAG5__ According to IDC analysts, the global market for quantum technologies may exceed 1 trillion rubles by 2030. Making materials modeling fast and cheap will accelerate the commercialization of quantum devices, from sensors to computing systems. For Russia this means: growing interest in quantum startups; the emergence of new directions in university laboratories; opportunity to participate in international projects on the development of quantum materials. 🔭 What's next The Finnish quantum computing infrastructure is already preparing to experiment with a new algorithm. If the adaptation for real quantum computers is successful, we will see the first demonstrations in the coming years. This means that the era of “quantum materials on demand” may come faster than expected. Sources: Physical Review Letters Aalto University Research Portal ScienceDaily (original publication) Xrust Quantum breakthrough from Europe: an algorithm that changes the rules of the game in materials modeling
- ⚙️ What Finnish researchers did and why it is important
- 🧠 Author's analytics: why this event is not just scientific news
- 1. Quantum materials are the foundation of future electronics
- 2. The algorithm solves the problem that hindered the development of quantum technologies
- 3. Russia can benefit
- 4. This is a step towards practical quantum computers
- 📚 A little history: why quasicrystals are so complex
- 🌐 Reaction of the industry and social networks
- 📈 How will this affect the quantum technology market class=»notranslate»>__GTAG5__ According to IDC analysts, the global market for quantum technologies may exceed 1 trillion rubles by 2030. Making materials modeling fast and cheap will accelerate the commercialization of quantum devices, from sensors to computing systems. For Russia this means: growing interest in quantum startups; the emergence of new directions in university laboratories; opportunity to participate in international projects on the development of quantum materials. 🔭 What's next The Finnish quantum computing infrastructure is already preparing to experiment with a new algorithm. If the adaptation for real quantum computers is successful, we will see the first demonstrations in the coming years. This means that the era of “quantum materials on demand” may come faster than expected. Sources: Physical Review Letters Aalto University Research Portal ScienceDaily (original publication) Xrust Quantum breakthrough from Europe: an algorithm that changes the rules of the game in materials modeling
- 🔭 What's next
🧩 How a task that was considered impossible appeared class=»notranslate»>__GTAG8__
There has long been a paradox in the world of quantum technology: to create new quantum devices, you need exotic materials, but their behavior is almost impossible to calculate. This is especially true of quasicrystals—structures where order and chaos are so closely intertwined that mathematical models grow to quadrillion-dollar data sets. For comparison: even the most powerful supercomputers in the world are not capable of processing such volumes in a reasonable time.
This is where the work of a research group at Aalto University (Finland) comes in, which has proposed an algorithm inspired by the principles of quantum mechanics. It allows you to simulate highly complex materials almost instantly — we are talking about hundreds of millions of structure nodes processed in seconds.
⚙️ What Finnish researchers did and why it is important
The team led by Jose Lado decided to abandon the classic approach of “calculating everything directly.” Instead, they used techniques similar to those used in quantum computers: tensor networks, which allow them to work with exponentially larger state spaces.
According to the project participants, the new algorithm:
- is capable of simulating quasicrystals with more than 268 million nodes , which was previously considered unattainable;
- opens the way to the creation of materials with the supermoire effect , which can become the basis for topological qubits;
- allows you to design electronics without wasting energy , which is critical for data centers and AI infrastructure.
The study was published in Physical Review Letters — one of the most authoritative journals in physics.
🧠 Author's analytics: why this event is not just scientific news
1. Quantum materials are the foundation of future electronics
Today's processors are limited by heat dissipation. Data centers in Russia and the world spend billions of rubles on cooling. Materials that conduct current without loss can radically reduce energy costs.
2. The algorithm solves the problem that hindered the development of quantum technologies
Materials modeling is the bottleneck of the entire industry. If it is expanded, it will be possible to design new quantum devices faster and cheaper.
3. Russia can benefit
The country is actively developing the areas of quantum communications and quantum sensors. The ability to model materials without huge computational costs makes research more accessible to universities and laboratories with limited budgets.
4. This is a step towards practical quantum computers
Finnish scientists emphasize that the algorithm can be adapted for real quantum machines when they become sufficiently accurate. This means that quantum computers will have their first widespread application — modeling materials.
📚 A little history: why quasicrystals are so complex
Quasicrystals were discovered in the 1980s and became a sensation: structures that do not repeat periodically, but still have strict symmetry. They are rare in nature, but have unique properties — from unusual conductivity to resistance to deformation.
Modeling them has always been a problem: to describe the structure, you need to take into account a huge number of relationships. That is why the emergence of an algorithm that works with such systems in seconds is a “paradigm shift” event.
🌐 Reaction of the industry and social networks
- The Twitter/X scientific communities are discussing that this is “the first real example of a quantum approach that outperforms classical methods not by percentages, but by orders of magnitude.”
- European technology companies see this as a chance to speed up the development of quantum chips.
- Russian materials science experts note that the algorithm can become a tool for designing next-generation superconductors.
📈 How will this affect the quantum technology market class=»notranslate»>__GTAG5__
According to IDC analysts, the global market for quantum technologies may exceed 1 trillion rubles by 2030. Making materials modeling fast and cheap will accelerate the commercialization of quantum devices, from sensors to computing systems.
For Russia this means:
- growing interest in quantum startups;
- the emergence of new directions in university laboratories;
- opportunity to participate in international projects on the development of quantum materials.
🔭 What's next
The Finnish quantum computing infrastructure is already preparing to experiment with a new algorithm. If the adaptation for real quantum computers is successful, we will see the first demonstrations in the coming years.
This means that the era of “quantum materials on demand” may come faster than expected.
Sources:
- Physical Review Letters
- Aalto University Research Portal
- ScienceDaily (original publication)
Xrust Quantum breakthrough from Europe: an algorithm that changes the rules of the game in materials modeling
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