Computer and Internet Technology

A research team has achieved the holy grail of quantum computing: an exponential speedup that’s unconditional. By using clever error correction and IBM’s powerful 127-qubit processors, they tackled a variation of Simon’s problem, showing quantum machines are now breaking free from classical limitations, for real.

Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states" a key component for fault-tolerant quantum computers. By pioneering a low-level, or "level-zero," distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.

Chalmers engineers built a pulse-driven qubit amplifier that’s ten times more efficient, stays cool, and safeguards quantum states—key for bigger, better quantum machines.

Scientists at NIST and the University of Colorado Boulder have created CURBy, a cutting-edge quantum randomness beacon that draws on the intrinsic unpredictability of quantum entanglement to produce true random numbers. Unlike traditional methods, CURBy is traceable, transparent, and verifiable thanks to quantum physics and blockchain-like protocols. This breakthrough has real-world applications ranging from cybersecurity to public lotteries—and it’s open source, inviting the world to use and build upon it.

MIT scientists have built a tiny, ultra-efficient 5G receiver that can thrive in noisy wireless environments ideal for smartwatches, wearables, and sensors that need to sip power and still stay reliably connected. The chip s unique design uses clever capacitor-switch networks and barely a milliwatt of power to block interference 30 times better than typical receivers. This tech could shrink and strengthen the next generation of smart devices.

Scientists at UBC have devised a chip-based device that acts as a "universal translator" for quantum computers, converting delicate microwave signals to optical ones and back with minimal loss and noise. This innovation preserves crucial quantum entanglement and works both ways, making it a potential backbone for a future quantum internet. By exploiting engineered flaws in silicon and using superconducting components, the device achieves near-perfect signal translation with extremely low power use and it all fits on a chip. If realized, this could transform secure communication, navigation, and even drug discovery.

Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through ultra-thin glass fibers can perform AI-like computations thousands of times faster than traditional electronics. Their system doesn t just break speed records it achieves near state-of-the-art results in tasks like image recognition, all in under a trillionth of a second.

Once a global leader in chipmaking, the U.S. now lags behind. Sandia National Laboratories is spearheading a strategic comeback by joining a powerful new coalition the National Semiconductor Technology Center. Through cutting-edge research, collaborative partnerships, and workforce development, Sandia is aiming to reclaim semiconductor dominance, safeguard national security, and revolutionize tech innovation for everything from self-driving cars to AI processors.

AI has helped astronomers crack open some of the universe s best-kept secrets by analyzing massive datasets about black holes. Using over 12 million simulations powered by high-throughput computing, scientists discovered that the Milky Way's central black hole is spinning at nearly maximum speed. Not only did this redefine theories about black hole behavior, but it also showed that the emission is driven by hot electrons in the disk, not jets, challenging long-standing models.

UC San Diego engineers have created a passive evaporative cooling membrane that could dramatically slash energy use in data centers. As demand for AI and cloud computing soars, traditional cooling systems struggle to keep up efficiently. This innovative fiber membrane uses capillary action to evaporate liquid and draw heat away without fans or pumps. It performs with record-breaking heat flux and is stable under high-stress operation.

In a bold challenge to silicon s long-held dominance in electronics, Penn State researchers have built the world s first working CMOS computer entirely from atom-thin 2D materials. Using molybdenum disulfide and tungsten diselenide, they fabricated over 2,000 transistors capable of executing logic operations on a computer free of traditional silicon. While still in early stages, this breakthrough hints at an exciting future of slimmer, faster, and dramatically more energy-efficient electronics powered by materials just one atom thick.

A team of Danish and German scientists has launched a major project to create new technology that could form the foundation of the future quantum internet. They re using a rare element called erbium along with silicon chips like the ones in our phones to produce special particles of light for ultra-secure communication and powerful computing. With cutting-edge tools like lasers and nanotech, the researchers are working to make something that didn t seem possible just a few years ago: light that can both travel long distances and remember information.

Scientists have uncovered how close we can get to perfect optical precision using AI, despite the physical limitations imposed by light itself. By combining physics theory with neural networks trained on distorted light patterns, they showed it's possible to estimate object positions with nearly the highest accuracy allowed by nature. This breakthrough opens exciting new doors for applications in medical imaging, quantum tech, and materials science.

Physicists at the University of Oxford have set a new global benchmark for the accuracy of controlling a single quantum bit, achieving the lowest-ever error rate for a quantum logic operation--just 0.000015%, or one error in 6.7 million operations. This record-breaking result represents nearly an order of magnitude improvement over the previous benchmark, set by the same research group a decade ago.

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already outperform classical systems in specific tasks. Notably, this photonic approach could also drastically reduce energy consumption, offering a sustainable path forward as machine learning s power needs soar.

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logic operations without additional circuitry, paving the way for capable computer vision systems integrated in everyday devices.

Students recently unveiled their invention of a robotic actuator -- the 'muscle' that converts energy into a robot's physical movement -- that has the ability to detect punctures or pressure, heal the injury and repair its damage-detecting 'skin.'

Scientists have developed a powerful new tool for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. The significant breakthrough means that, for the first time, researchers have found a way to determine once and for all whether a material can effectively be used in certain quantum computing microchips.

Engineers have developed a real-life Transformer that has the 'brains' to morph in midair, allowing the drone-like robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could be particularly useful for commercial delivery systems and robotic explorers.

Physicists have unveiled a breakthrough in quantum sensing by demonstrating a 2D material as a versatile platform for next-generation nanoscale vectorial magnetometry.

Miniature organs on a chip could allow us to do scientific studies with great precision, without having to resort to animal testing. The main problem, however, is that artificial tissue needs blood vessels, and they are very hard to create. Now, new technology has been developed to create reproducible blood vessels using high-precision laser pulses. Tissue has been created that acts like natural tissue.

Researchers united insights from cellular biology, quantum computing, old-fashioned semiconductors and high-definition TVs to both create a revolutionary new quantum biosensor. In doing so, they shed light on a longstanding mystery in quantum materials.

Diamond quantum sensors can be used to analyze the magnetization response of soft magnetic materials used in power electronics; report scientists based on collaborative research. Using a novel imaging technique, they developed quantum protocols to simultaneously image both the amplitude and phase of AC stray fields over a wide frequency range up to 2.3 MHz. Their results demonstrate that quantum sensing is a powerful tool for developing advanced magnetic materials across diverse applications.

Researchers developed a faster, more stable way to simulate the swirling electric fields inside industrial plasmas -- the kind used to make microchips and coat materials. The improved method could lead to better tools for chip manufacturing and fusion research.

Researchers have unveiled a breakthrough in solid-state cooling technology, doubling the efficiency of today's commercial systems. Driven by the Lab's patented nano-engineered thin-film thermoelectric materials and devices, this innovation paves the way for compact, reliable and scalable cooling solutions that could potentially replace traditional compressors across a range of industries.

Researchers demonstrated a way to to manipulate electrons using pulses of light that last less than a trillionth of a second to record electrons bypassing a physical barrier almost instantaneously -- a feat that redefines the potential limits of computer processing power.

A new AI chip works without the cloud server or internet connections needed by existing chips. The AI Pro, designed by Prof Hussam Amrouch, is modelled on the human brain. Its innovative neuromorphic architecture enables it to perform calculations on the spot, ensuring full cyber security. It is also up to ten times more energy efficient.

Researchers have developed a 3D micro-printed sensor for highly sensitive on-chip biosensing, opening new opportunities for developing high-performance, cost-effective lab-on-a-chip devices for early disease diagnosis.

Molecules like DNA are capable of storing large amounts of data without requiring an energy source, but accessing this molecular data is expensive and time consuming. Researchers have now developed an alternative method to encode information in synthetic molecules, which they used to encode and then decode an 11-character password to unlock a computer.

Location data is considered particularly sensitive -- its misuse can have serious consequences. Researchers have now developed a method that allows individuals to cryptographically prove their location -- without revealing it. The foundation of this method is the so-called zero-knowledge proof with standardized floating-point numbers.

New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms -- like exclusion from group chats -- can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality.

A multidisciplinary team of researchers has developed an artificial intelligence (AI) model that can predict acute child malnutrition in Kenya up to six months in advance. The tool offers governments and humanitarian organizations critical lead time to deliver life-saving food, health care, and supplies to at-risk areas. The machine learning model outperforms traditional approaches by integrating clinical data from more than 17,000 Kenyan health facilities with satellite data on crop health and productivity. It achieves 89% accuracy when forecasting one month out and maintains 86% accuracy over six months -- a significant improvement over simpler baseline models that rely only on recent historical child malnutrition prevalence trends.

Researchers have developed a new technique called 'Skia' to help computer processors better predict future instructions and improve computing performance.

Engineers developed a ping-pong-playing robot that quickly estimates the speed and trajectory of an incoming ball and precisely hits it to a desired location on the table.

Researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4.

Our brain is a complex organ. Billions of nerve cells are wired in an intricate network, constantly processing signals, enabling us to recall memories or to move our bodies. Making sense of this complicated network requires a precise look into how these nerve cells are arranged and connected. A new method makes use of off-the-shelf light microscopes, hydrogel and deep learning.

Researchers recently connected their campuses with an experimental quantum communications network using two optical fibers.

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing.

Researchers developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces to cooperate directly, using a new form of device-to-device communication. In doing so, it eliminates the need for central servers and thus the need for centralized data retention, often seen as a potential security weak point and risk to private data.

While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door key and cool roundness of an apple.

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing approaches still face challenges due to hand-induced occlusions and multimodal data fusion. In a new study, researchers developed a novel deep learning framework that addresses these issues by introducing a novel vote-based fusion module and a hand-aware pose estimation module.

Researchers demonstrated extremely strong nonlinear light-matter coupling in a quantum circuit. Stronger coupling enables faster quantum readout and operations, ultimately improving the accuracy of quantum operations.

Aiming to address age-related cognitive decline, a growing global health challenge, a team of researchers has developed a VR-based smell-training system to help combat it. This innovative VR game activates memory pathways by incorporating olfactory stimulation in a virtual environment. This game-based method offers an engaging platform for maintaining cognitive function and reducing the risk of neurodegenerative diseases such as dementia in older adults.

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable model? Scientists now have an answer. They describe a novel algorithm that can infer the structure of a hypergraph using only the observed dynamics.

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers in a practical timeframe. Alternatively, annealing processors (APs), which are specialized hardware for solving COPs, have gained significant attention. They are based on the Ising model, in which COP variables are presented as magnetic spins and constraints as interactions between spins. Solutions are obtained by finding the spin state that minimizes the energy of the system.

Scientists have developed a problem-solving architecture modeled on neurobiology that leverages quantum mechanical behavior to guarantee optimal solutions to complex problems.

As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient.

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.

New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists combine elements of different methods to improve algorithms or create new ones.

The invention is a metamaterial, which is a material engineered to feature new and unusual properties that depend on the material's physical structure rather than its chemical composition. In this case, the researchers built their metamaterial using a combination of simple plastics and custom-made magnetic composites. Using a magnetic field, the researchers changed the metamaterial's structure, causing it to expand, move and deform in different directions, all remotely without touching the metamaterial.

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, assess its role in word-problem solving and if interventions could boost it and thereby improve their word problem solving skills. Results showed that improving working memory helped both students with and without math difficulties and can help educators more effectively by helping teach the science of math, study authors argue.

A team of researchers has developed a new way to control light interactions using a specially engineered structure called a 3D photonic-crystal cavity that could enable transformative advancements in quantum computing, quantum communication and other quantum-based technologies.

Researchers have demonstrated a significant performance increase in cooling technology for high-power electronic devices. They designed novel capillary geometries that push the boundaries of thermal transfer efficiency. This study could play a crucial role in the development of next-generation technology.

According to new research next-generation DNA sequencing (NGS) -- the same technology which is powering the development of tailor-made medicines, cancer diagnostics, infectious disease tracking, and gene research -- could become a prime target for hackers.

Physicists have created a compact laser that emits extremely bright, short pulses of light in a useful but difficult-to-achieve wavelength range, packing the performance of larger photonic devices onto a single chip.

A groundbreaking open-source computer program uses artificial intelligence to analyze videos of patients with Parkinson's disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure. A photonic activation function has important advantages for the implementation of optical neural networks based on light propagation. Researchers have now experimentally shown an all-optically controlled activation function based on traveling sound waves. It is suitable for a wide range of optical neural network approaches and allows operation in the so-called synthetic frequency dimension.

Quasicrystals are intriguing materials with long-range atomic order that lack periodicity. It has been a longstanding question whether antiferromagnetism, while commonly found in regular crystals, is even possible in quasicrystals. In a new study, researchers have finally answered this question, providing the first definitive neutron diffraction evidence of antiferromagnetism in a real icosahedral quasicrystal. This discovery opens a new research area of quasiperiodic antiferromagnets, with potential applications in spintronics.