entangled dot cloud
MIT engineers develop a magnetic transistor for more energy-efficient electronics
Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, this material can control the flow of electricity in a circuit. But silicon has fundamental physical limits that restrict how compact and energy-efficient a transistor can be.MIT researchers have now replaced silicon with a magnetic semiconductor, creating a magnetic transistor that could enable smaller, faster, and more energy-efficient circuits. The material’s magnetism strongly
Sunlight-powered setup generates quantum entanglement
Today's quantum technologies rely on energy-intensive lasers, raising concerns that scaling them up could further increase ...
University of Ottawa scientists produce quantum entanglement using sunlight
Sunlight produced entangled photons in an outdoor experiment, challenging the belief that these quantum links require carefully controlled lasers. The photon pairs closely matched an ideal entangled state and displayed correlations that classical physics could not fully explain.
Chemists set electrons free and break a decades-old chemistry barrier
Chemists have developed a catalyst that breaks a long-standing rule governing which molecules receive electrons during chemical reactions. By releasing electrons directly into solution, the technique could unlock reactions—and potentially useful new molecules—that were previously out of reach.
A 0.42-nanometer breakthrough could push transistors beyond silicon
Atomically thin semiconductors could enable dramatically smaller and more efficient chips, but a stubborn problem at the boundary between materials has limited their performance. Researchers have now engineered that atomic interface to protect electron flow while still allowing extremely thin insulating layers. The resulting transistors delivered an unusually strong combination of electrical control and performance.
IonQ vs. D-Wave Quantum: Which Quantum Computing Stock Is a Better Buy in 2026?
Both companies are burning cash and unprofitable, but their technology bets and customer rosters tell a starkly different story.
Quantum breakthrough uses anyons to achieve universal computing power
Researchers demonstrated a universal quantum computing method using non-Abelian anyons, allowing a system to perform any quantum calculation through braiding and fusion. Built on Quantinuum’s 54-qubit H2 trapped-ion processor, the approach uses topological qutrits to protect information from local disturbances and reduce errors.
Can quantum computers solve math’s hardest problem?
The Riemann hypothesis claims that the locations of prime numbers along the infinite number line all adhere to a beautiful ...
Engineers build world's first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet
The world's first portable, room-temperature quantum computer with more than 10 qubits utilizes flawed lab-made diamonds. The ...
IBM just bought a quantum bet it doesn’t build. Days later, the payoff hit Nature.
HRL published a silicon quantum processor that runs its own error correction from inside the fridge. Six days earlier, IBM agreed to acquire HRL.
D-Wave’s $550M Quantum Computing Bet Makes Error Correction 10X Cheaper
D-Wave's massive January acquisition of Quantum Circuits is paying off: way better error correction, making quantum computing faster and easier.
This Week’s Awesome Tech Stories From Around the Web (Through August 8)
FutureShould AI Labs Be Treated Like the Owners of Dangerous Animals?Staff | The Economist ($)“Gabe Weil of the Institute for Law and AI, in Massachusetts, proposes a system of strict liability. As with rules around keeping wild animals, it would assume that any harm is always the fault of the party carrying out the risky activity.”TechGoogle Overhauls AI Leadership as Longtime Chief Scientist Joins Wave of ExitsMeghan Bobrowsky | The Wall Street Journal ($)“Demis Hassabis 
Meteorite that smashed through a New Jersey roof reveals clues to life’s origins
A rare meteorite that crashed through a New Jersey roof contains evidence of ancient salty fluids, organic compounds, and amino acids from a primitive asteroid. Its pristine chemistry could offer new clues about how space rocks helped supply early Earth with some of the ingredients needed for life.
New fuel cell breakthrough could help power energy-hungry data centers
A new nanostructured carbon design lets fuel-cell catalysts use tiny amounts of platinum while remaining remarkably stable and efficient. The breakthrough could help hydrogen fuel cells become a more practical way to power data centers, vehicles, and other energy-intensive technologies.
Quantum Physics and the Mystery of God’s Creation
Catholic physicist and professor Vincenzo Tamma explains how quantum mechanics reveals the intelligibility of nature, points beyond itself to the Creator, and opens new paths for evangelization.
Interactive exhibition in Bengaluru simplifies quantum physics through engaging experiences
The QUANTUM exhibition at Science Gallery Bengaluru features 34 interactive art installations, delving into superposition and ...
Ask HN: Can trivial LLM calls be compiled into conventional data pipelines?
We are investigating whether recurring LLM workloads can be replaced, where appropriate, by automatically constructed pipelines of regexes, deterministic parsers, traditional ML and NLP models.As an example, suppose an application repeatedly asks a frontier model to read an annual report and return all customer–supplier relationships as structured records containing a customer, supplier, and supporting evidence.A possible replacement pipeline might run named-entity recognition, entity normalizat
Show HN: Lefts – a domain specific language for building creative ML models
Lefts is a small domain specific language for applied machine learning modelling. It is aimed at anyone that builds predictive models for a living and wants to focus on reasoning about model behaviour and building creative architectures, and not on building train/test pipelines or worrying about data leakage.It is simple but quite powerful - I have been using it in my own work to explore new ways of modelling (check out the tutorial on geometric models!), and to breeze past the least intere
Ask HN: Reading and watching suggestions for future scenarios for AI?
It is quite clear that AI is massively affecting everything around us. I am looking for any recommendations on books, videos or any other content that revolves around future scenarios on where to road with AI will lead to.
Show HN: Coarena - A community-driven arena to benchmark models for computer-use
We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went.So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/.You just have to put in a task and two side by side windows with hidden models will show up and do the same task and