It took 15 years for computers to improve the productivity of companies. AI may take longer for one reason: sabotage

We keep hearing that AI is going to replace employees in their jobs and that this will mean an apocalypse in the labor market. While it is true that a paradigm shift is coming, even the most ominous voices they have toned down their speech by slowing down the real impact about employment. Four decades ago something similar happened with the personal computer. The offices were filled with computers that did the work of various accountants, but the companies’ balance sheets they didn’t notice its benefits nothing for years. Just like collect Fortunea Goldman Sachs economist has just reviewed that history with a magnifying glass and her conclusion is that AI could take even longer than computers to begin to work. demonstrate its benefits. The J-curve of PCs. Elsie Peng, economist at Goldman Sachs, has analyzed What happened after the arrival of the PC in 1981. The data suggests that in the first four years of the implementation of computers, productivity fell a little. Then, that productivity stagnated another four. Only in the eighth year did the first signs of growth in productivity attributable to the use of these new technologies begin to be noticed. Its peak came twelve years after its release. The trend that the implementation of computers in companies registered is known as J curve and, before computers, it was already experienced by other disruptive technologies in the labor market, such as the steam engine and the arrival of electricity. If AI is “the new PC”, that curve would place the first signs of impact around 2030, and its peak performance would not arrive until 2034. It’s not AI, it’s teleworking. From Goldman Sachs They admit that much of the impact of current AI is still not noticeable in official figures. This happens despite the huge investment figures that companies are making in AI systems. In the eighties with the PC it happened exactly the same: Chips and hardware were expensive and applications that brought real value, like the Internet, took years to have a large enough critical mass of users to have an impact on real productivity. In fact, according to the investigations conducted by Stanford expert Nick Bloom, the recent increase in productivity that has been recorded would not respond to the arrival of AI, but to the massive implementation of teleworking after the Covid-19 pandemic. You don’t invest in technology, you invest in processes. According to the data it collects Fortune According to the Goldman Satch report, for every dollar spent on hardware by companies in the 1990s, another dollar and seventy cents was needed for something that is not always taken into account: redesigning how people worked. In other words, it was not enough to fill office tables with computers, but all processes had to be redesigned and staff trained to make the technology have a visible impact. This expense in reorganizing did not take off until a decade after the arrival of the PC to the offices. The companies that changed their way of working won, not those that bought the hardware first. Investment in data centers for AI is growing faster than then. But the expense of reorganizing work with AI it goes slower than in the nineties with PCs. A survey by the Federal Reserve Bank of Atlanta estimated at about 280 billion dollars in intangible spending linked to AI in 2026. When the employee says no. However, the Goldman Satch analyst highlights a big difference between the implementation scenario of computers and that of AI: computers did not have workers against them. This scenario may still delay that peak productivity expected for 2034. Work reorganization is not done on its own, but depends on the employees. If a large part of the workforce resists, the implementation becomes complicated. A study of Writer and Workplace Intelligence to 2,400 workers found that 29% of employees sabotage in some way your company’s AI strategy. Among young people, the figure rises to 44%. Other survey of WalkMe points in the same direction. 54% of workers consciously avoided using AI tools at least once in the last 30 days. They preferred to do the work themselves. Harvard researchers they have named it. They call it self-disruptive technology. Employees do not reject AI because it fails, but because they feel that threatens your job. The study revealed that at least 30% of generative AI projects will end up abandoned due to this employee rejection. In Xataka | We thought that AI was going to take our position. The reality is that it is making us work more and rest less Image | Unsplash (Flipsnack)

“Quantum computers are the solution to tritium that will fuel nuclear fusion”

The nuclear fusion It promises us clean and practically unlimited energy, but it has been stuck for decades by an obstacle that is difficult to overcome: fuel. The reactors tokamakthe most frequent in experimental projects, work fusing deuterium and tritiumtwo isotopes of hydrogen that when combined release a helium nucleus and a neutron that is ejected with an energy of about 14 MeV (megaelectronvolts). The problem is that the tritium It is an extraordinarily rare isotope on Earth. It is only formed naturally in the atmosphere due to the interaction of cosmic raysand in tiny quantities. In this scenario, for nuclear fusion to have a future as a real energy source, scientists need to find an efficient strategy that allows them to produce tritium in an artificial and sustainable way. This is the context in which the latest research carried out by the Cleveland Clinic, Oak Ridge National Laboratory, IBM’s TJ Watson Research Center and Michigan State University, all in the US, is drawing a lot of attention. And for the first time a team of scientists has used a quantum computer to identify the molecular configurations of the material that acts as a tritium “breeding blanket” within a nuclear fusion reactor. FLiBe: the molten salt that can save fusion The material identified by this quantum machine is called FLiBe, and it is a molten salt composed of lithium fluoride and beryllium fluoride. Inside a reactor tokamak The neutrons released by the fusion plasma impact this molten salt that covers the internal walls of the vacuum chamber, and it is this process that is responsible for producing tritium. Finding the optimal FLiBe configuration is the key to making fuel production viable on an industrial scale. This approach allows you to rule out less promising options in advance, saving time and money. A quick note before moving forward: the technique used by these researchers is known as quantum computing focused on supercomputing, and it is the same as Cleveland Clinic has previously used to simulate protein configurations of thousands of atoms. Applying it now to the chemistry of fusion materials is a novelty. The result of this strategy has been the identification of nine different molecular configurations of the FLiBe material, each with its own electronic structure, atomic behavior and molecular bond strength. Tom Beck, a computational chemist at Oak Ridge Laboratory, has explained that quantum computers are essential tools for accelerating the discovery and design cycles necessary to produce enough tritium to fuel fusion reactors. However, it is important that we temper our expectations. The nine configurations are, for now, simulations, and still have to be validated in the laboratory before making the leap to a real reactor. What this approach does allow is to rule out in advance the least promising optionssaving time and money on experiments that might otherwise go nowhere. IBM researcher Jerry Chow has added These results reinforce the idea that quantum computing is already a practical tool capable of solving problems that have eluded chemists and engineers for years. For now, nuclear fusion still does not have a closed solution to its fuel problem. However, for the first time a quantum computer has put concrete candidate materials on the table with which to begin solving this enormous challenge. Image | Fusion for Energy (F4E) More information | Science Alert In Xataka | The start-up of the largest nuclear fusion reactor on the planet is delayed by a decade. These are the reasons for the ITER gap

desktop computers, laptops and monitors on offer at PcComponentes

PcComponentes is about to end its PcDayssince the campaign will end tomorrow, July 12. Until then, we can find many offers on different devices, whether desktop computers, laptops, monitors and even televisions. For this reason, we are going to review the best deals that are still available. Samsung OLED TQ65S95FATXXC by 1,599 eurosan OLED television with anti-reflective treatment. PcCom Ready by 1,299 eurosa pre-built computer with a lot of RAM and a lot of internal storage. Asus ZenScreen MB166C by 109 eurosa portable monitor for studying or working outside the home. Acer Nitro V 16 by 1,029 eurosa gaming laptop with a good configuration. Samsung Galaxy Book3 360 by 699 eurosa productivity-oriented laptop. The price could vary. We earn commission from these links Samsung OLED TQ65S95FATXXC If you want to renew the television, PcComponentes right now has a good price in the Samsung OLED TQ65S95FATXXCsince it remains for 1,599 euros (before 3,599 euros). It is a smart TV with a 65-inch diagonal OLED panel that also has anti-reflective treatment, a refresh rate of up to 165 Hz and compatibility with Dolby Atmos. Samsung OLED TQ65S95FATXXC The price could vary. We earn commission from these links PcCom Ready The RAM crisis has affected the price of computers, but there are some that have a very good quality-price ratio. It is the case of PcCom Ready which now has a price of 1,299 euros (before 2,019 euros). We are talking about a pre-assembled computer that incorporates the Intel Core i7-14700KF processor, 32 GB of RAM (DDR4), 2 TB of SSD and RTX 5060 graphics. The price could vary. We earn commission from these links Asus ZenScreen MB166C If you want to study or work away from home, or play the console during the summer holidays, PcComponentes has an offer on Asus ZenScreen MB166C by 109 euros (before 129 euros). It is a portable monitor with an IPS panel, 15.6-inch diagonal and FullHD resolution. In addition, it offers a 60 Hz refresh rate, includes a stand-case and only uses a USB-C cable for video and power. The price could vary. We earn commission from these links Acer Nitro V 16 On the other hand, if what you are looking for is a good gaming laptop, the store has lowered the price of the Acer Nitro V 16 until the 1,029 euros (recommended price of 1,549 euros). A few days ago it was slightly cheaper, costing 30 euros less, but its current price is not bad at all. We are talking about a laptop that has a Ryzen 7 260 processor, has 32 GB of RAM (DDR5), 1 TB of SSD and RTX 5060 graphics. Acer Nitro V 16 (AI ANV16-42) The price could vary. We earn commission from these links Samsung Galaxy Book3 360 Finally, PcComponentes also has on offer the Samsung Galaxy Book3 360 by 689 euros (before 1,099 euros). To see this price you have to add it to the cart. It is a productivity-oriented laptop, and it comes with both Windows 11 and Microsoft 365 for an entire year. In addition, the computer comes with an Intel Evo Core i5-1340p processor, 16 GB of RAM (DDR4), 512 GB of SSD and a 13.3-inch touch screen. Samsung Galaxy Book3 360 + Microsoft 365 The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Image | PcComponentes y Compradicción (header), Samsung, Asus, Acer In Xataka | Best televisions in quality price. Which one to buy and seven recommended 4K smart TVs In Xataka | Best wireless over-ear headphones. Which one to buy and five recommended models

There are computers, TVs, cell phones and even MacBooks

They have been active for a couple of days now and we can say that the PcDays of PcComponentes They have started very strongly. This Spanish store has a lot of deals available right now, not only in terms of gaming computers, components either peripherals (that too), but There are phones, televisions or tablets at a very good price. DeLonghi Magnifica Start Super-Automatic Coffee Maker with Grinder 15 Bars Black The price could vary. We earn commission from these links The promo began, as we say, on June 28, although it will be available until 6:00 p.m. on July 12. There are interesting discounts in practically all categories of this store, although it is worth going in almost daily to take a look. Because? For the flash offers that appear every 24 and 48 hours. @xataka.seleccion PcComponentes is celebrating the #PcDays with VERY CRAZY offers Trucazo: every 24 hours and 48 hours flash offers appear that can leave products at historic lows! #pccomponents #offers #tech #summer ♬ original sound – Xataka Selección As there is a lot to choose from, we have made a selection of five offers that we find very interesting: MSI Katana laptop by 1,339 eurosa gaming device with 32 GB of DDR5 RAM and 1 TB of storage. MacBook Air M5 by 1,179 eurosa good price for the Apple laptop that includes a charger. PcCom Ready with RTX 5060 Ti by 1,599 euroshistorical minimum for this desktop gaming PC. DeLonghi Magnifica Start by 289.90 eurosa super-automatic coffee maker with an integrated grinder at a good price. LG Nano 4K UHD by 629 eurosa 75-inch television ideal for brightly lit living rooms. MSI Katana laptop We start with a gaming laptop, the MSI Katana 15 HX B14WGK-086XES. It is a device that comes with an RTX 5070, as well as with 32 GB of DDR5 RAM and 1 TB of storageso it will give us very good performance for years to play at 1080p and 1440p. In addition, it has a good processor such as the Intel Core i7-14650HX and has a 15.6-inch screen with Full HD resolution and 144 Hz. It costs 1,339 eurosits historical minimum. Laptop MSI Katana 15 HX B14WGK-086XES 15.6″ Intel Core i7-14650HX 32GB 1TB SSD RTX 5070 The price could vary. We earn commission from these links MacBook Air M5 Apple announced a few days ago that several of its devices rose in pricebut we still have time to buy some of them at a good price. This MacBook Air with M5 chip of the PcDays is a very good option: it costs 1,179 euros and includes 35 W charger. This is the 13-inch version, so we can expect a very light and manageable laptop. In addition, it has autonomy for up to 18 hours and a Liquid Retina screen that looks great. Apple MacBook Air 13″ Laptop Apple M5 16GB 512GB SSD GPU 10 cores macOS Midnight + 35W Charger The price could vary. We earn commission from these links PcCom Ready with RTX 5060 Ti We return with another gaming computer, although in this case a desktop one. It is a PcCom Ready with an RTX 5060 Ti with 16 GB of VRAM (something that will help increase its longevity), an Intel Core i7-14700KF processor, 32 GB of RAM and a 2 TB SSDso we will have a lot of space to install games. Includes Windows 11 installed as standard and is coming out right now 1,599 eurosits historical minimum. PcCom Ready Intel Core i7-14700KF / 32GB / 2TB SSD / RTX 5060 Ti 16GB V2 / Windows 11 Home The price could vary. We earn commission from these links DeLonghi Magnifica Start We leave the computers with this DeLonghi Magnifica Start super-automatic coffee maker. Quality-price is one of the best options we can buy if we like coffee (especially now, when it goes out for 289.90 euros). It has an integrated grinder that allows 13 different levelsa 250 gram hopper and a very simple touch panel that allows us to prepare four recipes with a single touch. It also has a milk frother, although it is completely manual. DeLonghi Magnifica Start Super-Automatic Coffee Maker with Grinder 15 Bars Black The price could vary. We earn commission from these links LG Nano 4K UHD We close this selection of offers with the LG NANO 4K television, model 75NU8E0B3LA. It is about a 75-inch TV with anti-reflective treatmentmaking it ideal for large rooms where a lot of light enters through the windows. It is an interesting and balanced option for its price if you are looking to have a very large screen, since it is reduced to 629 euros. TV LG NANO 4K UHD AI 75NU8E0B3LA 75″ 4K UltraHD 60Hz Smart TV WebOS HDR10 The price could vary. We earn commission from these links All these offers will be available, as we have said, until next July 12 (or while supplies last). Shipping is within 24 hours and free from 50 eurosIn addition, PcComponentes has several different payment (and financing) options. Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | MSI, Apple, PcComponentes, DeLonghi, LG In Xataka | Best televisions in quality price. Which one to buy and seven recommended 4K smart TVs In Xataka | Capsules, super-automatic or manual. The best coffee makers according to your tastes and needs

cell phones, computers, TVs and more

PcComponentes has a section with refurbished devicesand the truth is that there is plenty to choose from with categories dedicated to mobile phones, computers, televisions and much more. For this reason, in this article we are going to review five of the best deals that are available right now. MacBook Neo by 599.45 eurosan even tighter price for Apple’s cheap laptop. Google Pixel 9a by 391.98 eurosa good price for the economical mobile phone of the previous generation of Google. Samsung Q7F by 261.70 eurosa QLED television with a 43-inch screen. Google Pixel 10 by 527 eurosthe current generation mobile phone from Google. Aisens Support by 20.30 eurosideal if you want to place a pair of monitors on a desk. Samsung Q7F (43 inches) – Condition like new The price could vary. We earn commission from these links MacBook Neo He MacBook Neo has caused great interest due to its quality-price ratio and PcComponentes has it refurbished for 599.45 euros. And be careful because it is in like-new condition. Includes 256 GB of internal storage (SSD) and 8 GB of RAM, The processor is powerful enough to study and work with text, browsers and some image editing and it is also quite light at 1.23 kg. MacBook Neo (256 GB) – Condition like new The price could vary. We earn commission from these links Google Pixel 9a PcComponentes also has the Google Pixel 9a very cheap for a price of 391.98 euros in like new condition. Perhaps it is not the most current because it is a mobile phone from the previous generation, but we are talking about a model that It is still an excellent purchase option because of its screen, the photographic section and because it will be updated for many years. Google Pixel 9a (128 GB) – Condition like new The price could vary. We earn commission from these links Samsung Q7F If you are looking for a television for the bedroom or for a second home, or if your living room is small, PcComponentes has the television Samsung Q7F by 261.70 euros in like new condition. It is a TV that mounts a panel with QLED technology of, in this case, 43 inches. Supports content in HDR10+comes with Filmmaker mode and has the voice assistant Alexa. Samsung Q7F (43 inches) – Condition like new The price could vary. We earn commission from these links Google Pixel 10 On the other hand, if what you are looking for is a more recent mobile phone, and of much better quality, PcComponentes has the Google Pixel 10 by 527 euros in pre-owned condition. It is a compact 6.3-inch mobile phone that incorporates the Google Tensor G5, a good processor for regular use. Its screen is excellent and the cameras are at a high level. Google Pixel 10 (128 GB) – Pre-owned condition The price could vary. We earn commission from these links Aisens Support Finally, PcComponentes has a Aisens support by 20.30 euros in like new condition. It is a stand that allows you to place two monitors between 17 and 32 inches with a maximum of 9 kilos each. It is made of steel, is installed using a clamp to avoid drilling holes in the desk and allows you to adjust the inclination angle of each monitor, as well as the swivel and rotation angle. Aisens Support – Condition like new The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | PcComponentes and Compradicción (header), Apple, Google, Samsung, Aisens In Xataka | Best laptops in quality price. Which one to buy based on use and eight recommended models In Xataka | Best mobile phones 2026. Which one to buy based on use and six recommended models

Computer companies didn’t make money on computers. What they are doing is making money thanks to AI servers

On Friday, May 29, Dell shares they grew 39% suddenly. Since becoming a publicly traded company seven years ago, Dell has never had a rise like that. At first glance, this growth would seem strange, but the company has discovered that with stagnant PCs, the focus had to change. Nothing has gone wrong with that turn of the helm, but other traditional PC manufacturers have also taken advantage of the opportunity. The PC is dead, long live the server. In recent years the PC segment has been struggling with low margins and sales that have slowly been slowing down. Manufacturers were totally tied to that situation, but some have taken advantage of the opportunity that AI offered them. Dell and Lenovo rub their hands. Dell published its financial results and they were spectacular: 88% year-on-year growth thanks to the fact that its revenue in the server segment has risen 757%. Not only that, its guidance for this year has improved as well, further boosting confidence in the company’s near-term future. Lenovo also had a fantastic quarter: May was its best month on the stock market since 1999, doubling the value of your shares thanks again to that fever for hardware dedicated to AI. AI as a shield against inflation. The entire sector is experiencing a paradoxical situation: the cost of components such as DRAM memories or SSD units is absolutely shotbut companies are earning more than ever. Dell has tripled its net profit to $3.44 billion, allowing it to offset those costs through almost daily price increases. Lenovo has managed to maintain its margins because once again the market is willing to pay whatever it takes for servers and AI infrastructure. Beyond hyperscalers. One might think that to have resources in the age of AI it would be necessary to turn to hyperscalers (Amazon, Microsoft, Google), but Dell and Lenovo have shown that their experience in servers has managed to offer an alternative for all types of clients. Jeff Clarke, chief operating officer at Dell, explained that the need for AI hardware is so enormous that this segment continues to break sales records. The PC is no longer the protagonist. Although Dell’s Client Solutions division—which includes its revenue from PC and laptop sales—grew a more than decent 17%, that figure pales in comparison to the 181% growth of its infrastructure division. Lenovo follows a similar line: its shares rose 22% last Friday after confirming that its AI revenues manage to offset the weakness of the traditional PC business. The focus changes. Something similar happens with HPE, the company that spun off from HP to focus on the business segment. Its server business hasn’t grown as much, but they already have contracted orders worth $5 billion and that guarantees a promising second quarter. Other consumer products makers are also migrating to AI infrastructure: Foxconn has absolute trust in which the demand for these components will continue to be exceptional in the coming months, and the same happens with Quanta Computer, which continues to see how its servers do not stop growing in importance in revenue for the company: They were already 80% of the total in the first quarter of 2026. Image | Dell In Xataka | For some people there is something much better than having a PC at home: having a server rack

IBM has made the largest quantum chemistry simulation to date. It is a success for quantum computers

The prototypes of quantum computers currently available are gradually breaking down some barriers. These machines have a weak point: they make mistakes. This is the reason why Ignacio Cirac, the Spanish physicist who, together with Peter Zoller, developed the theoretical basis of quantum computing, holds that the correct thing is to identify them as prototypes to differentiate them from the fully functional quantum computers that will hopefully arrive in the future. During the conversation we had with Ignacio Cirac in June 2021, the director of the Theoretical Division of the Max Planck Institute for Quantum Optics he explained to us who believed that quantum computers will be very valuable tools in the field of quantum chemistry to, for example, design drugs. Just five years after that conversation, a very important milestone has occurred that invites us to scan the horizon of this discipline with a very healthy optimism. And a group of researchers from IBM; the RIKEN Center for Quantum Computing, in Japan; and Cleveland Clinic, in the USA, have carried out the largest quantum-classical chemistry simulation carried out to date. It’s a very important achievement for a reason: it represents a huge leap in the way quantum computers can be used alongside classical supercomputers to study real-world chemistry problems. “This result is a dream” Dr. Kenneth Merz, the leader of this research, assures that the result obtained by the team he leads is a dream. Until now, the most ambitious simulation that had been possible in this area using a quantum computer recreated a protein with only 303 atoms. However, Merz’s team has managed to simulate two biologically relevant proteins (T4-Lysozyme and Trypsin), as well as the molecules to which they bind, in a completely realistic aqueous environment and reaching 12,635 atoms. To make this possible, they have used two quantum processors that add up to 94 qubits, executing 9,200 circuits over more than 100 hours and collecting 1.3 billion measurement results. The quantum data were subsequently processed with the Japanese supercomputer Fugaku. In this area, the calculation capacity of quantum computers makes a difference, although the merit does not belong exclusively to these machines. The strategy that these scientists have developed consists of dividing large molecules into smaller, more manageable groups. The strategy these scientists have developed is to divide large molecules into smaller, more manageable groups. Classical supercomputers solve the simpler regions, while quantum systems address the more complex and computationally demanding parts. The results are then recombined to obtain a global image of the molecule. To carry out this simulation, the researchers introduced improvements in both classical and quantum techniques. However, one of the most important innovations they have developed is the improvement of the way in which the system identifies which parts of a molecule require detailed quantum treatment, which reduces the overall computational cost. As we have just seen, we are facing a very important milestone, although we need to put it in context. And, despite its value, the strategy that these researchers have developed still does not surpass the best classical approaches. However, it demonstrates that quantum systems can already contribute to the resolution of significant scientific problems, especially when integrated with existing computing infrastructure. Image | IBM More information | Interesting Engineering In Xataka | Beyond AI, US semiconductor manufacturers face the real battle of the future: quantum chips

Universal quantum computers promise to change the world. Now they are closer thanks to giant super atoms

The prototypes of quantum computers currently manufactured by IBM, Honeywell or Google, among other companies, are engineering prodigies. However, they have defectswhich currently greatly limits the range of applications in which it is possible to use them. The most important of all of them is that they make mistakes and they are still not able to correct them effectively. Scientists are working on developing advanced error correction systems, and if they achieve their goal, universal quantum computers capable of dealing with a wide range of problems will arrive. The Achilles heel of current quantum machines is the extreme fragility of their qubits. And they are very sensitive to disturbances from the environment. Their interaction with the space around them can cause quantum information to be lost or altered, preventing them from delivering a correct result. This phenomenon is known as quantum decoherence and it has the ability to degrade the quantum states that need to be protected in order to carry out operations with qubits. Currently, researchers are making an enormous effort to design effective strategies for isolating qubits from the environment. However, efforts are also being made to develop less fragile qubits, and therefore less sensitive to noise. This is the plan that several scientists at Chalmers University of Technology in Sweden are working on. And they have developed a completely new quantum system designed to protect quantum information and minimize interference from the environment. Its purpose is, neither more nor less, to pave the way for universal quantum computers or large scale. Less decoherence leads to more robust and higher quality quantum computers Quantum computing experts maintain that quantum computers that will have the ability to correct their own errors can be used to design exotic materials, and probably also to develop new drugs and in industrial optimization problems, among other tasks. These are some of the applications that the qubits implemented with giant superatoms proposed by the Chalmers University of Technology team led by applied quantum physics professor Anton Frisk Kockum could put in our hands. Giant Superatoms explore two ideas long known to quantum physicists: giant atoms and superatoms. Giant Super Atoms explores two ideas long known to quantum physicists: giant atoms and superatoms. Unlike isolated atoms, a giant atom in this context is an artificial qubit designed to interact with its environment using light or sound waves at multiple physically separated points. This peculiarity allows them to protect quantum states more effectively than conventional systems, reduce decoherence and remember past interactions. The problem with using giant atoms in quantum computers is that they have significant limitations when trying to entangle them. Entanglement is essential in quantum computing because it allows multiple qubits to share a single quantum state and act as a coordinated system. To solve this limitation, the Chalmers researchers have combined giant atoms and superatoms. A superatom is made up of several natural atoms that share the same quantum state and behave collectively as a single larger atom. Lei Du, one of Chalmers’ researchers, explains to us what is a giant super atom: “We can observe it as multiple giant atoms working together as a single entity, allowing them to exhibit a non-local interaction between light and matter. This allows quantum information from multiple qubits stored and controlled as a unit and without the need for increasingly complex surrounding circuits.” For the moment, giant superatoms are a theoretical proposal, but Professor Anton Frisk Kockum and his team are going to try to build a quantum system using them. If they succeed, they could have found a new type of qubit that is much more robust, and, therefore, suitable for use in the development of universal quantum computers. Image | Generated by Xataka with Gemini More information | ScienceDaily In Xataka | We already know what the chips that will arrive until 2039 will be like. The machine that will allow them to be manufactured is close

Quantum computers are going to overthrow classical cryptography sooner than expected

Just two weeks ago a group of researchers from the California Institute of Technology (Caltech), the University of California at Berkeley and the emerging company Oratomic published a scientific article preliminary in which they explore the capabilities of quantum computers of neutral atoms. These machines are an alternative to quantum computers with superconducting qubits and ion traps, and are still in an experimental phase. However, these scientists have estimated that Shor’s algorithm can be implemented using a quantum computer equipped with between 10,000 and 20,000 qubits of neutral atoms. In fact, in their article they even propose a design with which in theory it would be possible break bitcoin encryption in a few days using 26,000 qubits of neutral atoms. In any case, these researchers are not the only ones who in recent weeks have alerted us to the ability to violate classical cryptography that quantum computers will acquire in a relatively short period of time. At the end of last March, Google’s quantum artificial intelligence group published a study in which he demonstrates that the elliptic curve encryption used by Bitcoin or Ethereum, among other cryptocurrencies, can be overthrown using far fewer resources than initially estimated. According to these researchers, a quantum computer with less than half a million physical qubits will be able to decipher the algorithms used by current cryptocurrencies in a few minutes. In short, the scientific community has agreed that classical encryption technologies will be vulnerable before the arrival of large-scale quantum hardware. The first steps to protect ourselves have already been taken Quantum computing experts have known for several years that quantum computers they will end classical cryptography. That moment came in May 2024. A team of researchers from the University of Shanghai (China) led by Professor Wang Chao used a D-Wave quantum computer to successfully break SPN encryption (Substitution-Permutation Network), which is a cryptographic algorithm used to encrypt information. This encryption is the cornerstone of, for example, the AES standard (Advanced Encryption Standard), which is used a lot. These scientists published the results of their research in an interesting article titled “Quantum Processing-Based Public Key Cryptographic Attack Algorithm with the D-Wave Advantage.” However, this is not all. And in mid-May 2025, several Google researchers posted an entry in the blog dedicated to the security of this American company in which they maintain a crucial premise: an RSA integer (Rivest–Shamir–Adleman) 2,048 bits can be factored in less than a week with a quantum computer of less than a million qubits. A 2,048-bit RSA integer can be factored in less than a week with a quantum computer of less than a million qubits Bitcoin, Ethereum, Solana and the other modern cryptocurrencies use a cryptography technique known as elliptic curve that is more robust, efficient and difficult to break than RSA, but its mathematical foundations are similar to those of the latter encryption algorithm. In fact, according to the Google scientists who authored the article I mentioned above, if future quantum computers will have a harder time breaking RSA encryption than initially expected, elliptic curve cryptography will also fall relatively easily. So far we have talked about cryptocurrencies, but it is crucial that we do not overlook that encryption technologies play a fundamental role in our daily lives. In fact, WhatsApp and Telegram use them to encrypt our messages; banks turn to them to protect our transactions and every time we buy something on the internet it is encryption that is responsible for protecting our credit card information. These are just some of the applications of this technology. The threat of quantum computers to encryption technologies is very real, but we have no reason to panic because many researchers have been working on the solution to this challenge for several years. In fact, most of the theoretical work has already been done. In 2024, the US National Institute of Standards and Technology (NIST) published an initial set of standards that includes a post-quantum key exchange mechanism and several post-quantum digital signature schemes. The work that has already been done invites us to foresee that the moment relevant quantum computers appear from a cryptographic point of view, the technologies that will be able to protect our information will already be ready. Image | Generated by Xataka with Gemini More information | arXiv | Google In Xataka | We already know what the chips that will arrive until 2039 will be like. The machine that will allow them to be manufactured is close

In 1995 ‘Toy Story’ forever changed the way animated films are made. He did it with rudimentary computers

Seen today, ‘Toy Story’ It remains as fresh, fun and surprising as it was in its day. That the later films of Pixar have drawn, to a greater or lesser extent, from its aesthetics, its plot structure and its characters, demonstrates the extent to which the company’s first film was influential and foundational in many ways. And that is taking into account that, technologically, its creative process has lost all traces of sophistication, and today it is a relic of the past like the first attempts at other techniques such as the rotoscope or the stop motion. As an example, this video that dates back to the time of filming but which had not been seen much until recently, and in which Pete Docter, the film’s animation supervisor, describes the rudimentary techniques with which the characters in the film were brought to life, based on the recording of the original voice. Their explanations and images attest to the way almost intuitive that they had to animate, and how perhaps the image that many people have of computer animation as something completely automated and where there is no human participation is absolutely wrong. We must add to this that Docter, in addition to being an animator in ‘Toy Story’, would write the basic story of almost all Pixar moviesthe script for ‘Delverso’ and ‘Up’ and he would direct those same ones and ‘Monstruos SA’. That is to say, apart from knowledge about the creative procedure in the technical part, he is also a key name in the most primitive section of the genesis of the film, where the ideas, the design of the characters and the very threads of the story emerge. In the video he explains how, based on sound, they sketch a series of movements on paper, a procedure that obviously has much more to do with traditional animation than with nothing programmatic. From there they go to a stand-in of Woody, that is, a character “made only with geometric shapes”, to save time on technical issues. In those days it was unthinkable to animate in real time with finished characters. From there, and with extreme precision, it moves the elbow, wrist, fingers… and finally, separately, all the facial animations. The interesting thing is what Docter adds later and that makes clear his interest not only in the technical section of this type of animation, but also in its creative and expressive twists and turns: “If you can make this model act, function and communicate without any type of facial expressions, then you have done a good job.” It’s a perfect example of why ‘Toy Story’ still works and exciting: because it does not remain a technical exhibition in which it was a pioneer, becoming the first computer-animated feature film, but there is a traditional creative work supporting it all. The rendering that gave life to the toys The key to Toy Story’s animation is RenderMan, Pixar’s proprietary 3D rendering software that it developed since the mid-1980s. In addition to using it in its own films, the company makes it available to third parties, as it did, with the software still in its infancy, in films such as ‘The Abyss’ in 1989 (in the scene of the water tentacle that gave the film an Oscar) or ‘Terminator 2’ in 1991 and its liquid metal effects. What RenderMan does It is managing issues such as lighting and volumes realistically, even on computers as primitive as those available in the early 1990s. The success of ‘Toy Story’ made the tool ubiquitous in productions that played a historic part in the birth of computer special effects in cinema. Even today, ‘Toy Story 4’ has been made with an updated version of RenderMan which, of course, manages aspects such as light and shadow projections in an infinitely more realistic way than in the first film. The importance of RenderMan is essential to understand even the origin of the company, because Pixar was born as a division of Lucasfilm that ended up becoming a software company that made short films to advertise the power of its products. After winning an Oscar with the short ‘Tin Toy‘ -shot with the Menv software, also from Pixar-, the decision made by the co-founder of the company Ed Catmull – the original core along with John Lasseter and the screenwriters Andrew Stanton and the aforementioned Docter -, who always had the ambition to make the leap to the feature film, was to make a half-hour Christmas special. In it, a ventriloquist doll made an unlikely couple with the metal ‘Tin Toy’ doll. ‘Tin Toy’ was not short on ambition (things appeared in it that had literally never been seen on that scale, such as textures of different materials such as wood or fabric, or shadows of different intensity), and part of that ambition would be transferred to ‘Toy Story’. For example, Catmull – like the rest of the animators – would provide a character to the dolls that appear hidden under the sofa. It was an elephant, which he designed by introducing Bézier curves by hand, as coordinates, into the programming language. The primitive concept of the metal dummies and the ventriloquist did not prosper, but Pixar ended up with a contract with Disney for 26 million dollars to make three feature films. They decided to extend the story of the toys that come to life from the short, and once again we can see Pixar’s desire for technology and ingenious concepts to come together in the same way: since visually they could not afford sophisticated and realistic animations with the software they used, they would animate toys, which would intuitively have robotic and rigid gestures and behaviors if they came to life. The ventriloquist dummy became Woody because the CEO of Disney at the time, Michael Eisner, had a bad feeling for puppets. Small calculation errors The first problem that Pixar encountered after starting production in 1993 was the equipment they believed was necessary to complete … Read more

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