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
Show HN: Run the popular LLM-Course tutorials on HyperAI
LLM-Course is one of the most popular open learning resources for Large Language Models, with over 75k on GitHub. It provides a structured curriculum that walks through the full LLM stack — from fundamentals to building production-ready applications.HyperAI recently built a ready-to-run notebook that lets you explore parts of the course directly in the browser without setting up a local environment.The original course is organized into three main tracks:1.LLM Fundamentals – math, Python, neural
Quantum computing’s biggest bottleneck is error correction, and the race is on
A Google-led research team has demonstrated a surface-code logical qubit operating below the error-correction threshold, ...
Scientists unlock a powerful new way to turn sunlight into fuel
Scientists have developed a powerful new computational method that could accelerate the search for next-generation materials capable of turning sunlight into useful chemical energy. The work focuses on polyheptazine imides, a promising class of carbon nitride materials that absorb visible light and can drive reactions such as hydrogen production, carbon dioxide conversion, and hydrogen peroxide synthesis. By analyzing how 53 different metal ions influence the structure and electronic behavior of
Scientists discover AI can make humans more creative
Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galleries sparked deeper engagement, longer exploration, and better results.
THOR AI solves a 100-year-old physics problem in seconds
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.
Crossed wires: The quantum threat to encryption is real, but you can sleep easy
Amid fears of a looming encryption crisis from quantum computing, experts are proactively implementing robust defences, ensuring our digital security remains intact.
Prediction: Rigetti Computing Stock Is Going to Plummet in 2026
The quantum computing powerhouse has already lost over 60% of its peak value, but more downside could be on the way.
New Mexico bets big on emerging quantum computing industry
Quantum computing is a new but rapidly growing tech sector that New Mexico leaders say the state is on the forefront of the future in.
Why the World’s Most Valuable Company Is Buying Into Quantum Computing
NVIDIA, the AI boom's $4 trillion chipmaker, is now betting on quantum computing—despite doubts about how soon the technology will pay off.
Quantum computing meets the Möbius molecule
This, in turn, altered the configuration of the orbitals to achieve the half-Möbius configuration that the researchers were ...
Quantum computers still struggle with chemistry’s hardest molecular calculations
One of the biggest promises of quantum computing is the ability to simulate molecules ...
Probing entanglement and parameter sensitivity in QAOA via Quantum Fisher Information
Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...
Show HN: Sway, a board game benchmark for quantum computing
A popular philosophy in the HN community is that inventing problems to be solved by a technology is antithetical to the user experience. Much to the
horror of some, I did just that to discover/invent this game.<p>I started with the structure of quantum com
putation and asked what kind of problem benefits from it. The answer was surprisingly narrow, but this was one of the results. Enjoy!
Ask HN: Why isn't there an open-source model trained by the community?
Couldn't find anything online, but just wondered what the chances would be, if, much like SETI at the time, people would share some of their GPU processing time (small slots, here and there, when underutilized) to train an open-source community-owned model? Basically a model by the people, for the people :)I wonder for how much longer we'll get to see (high quality) open models be shared freely, it's already quite a limited landscape.Would there even be enough GPU power? Would som
Pick one of catastrophic or equitable. Are founder clean breaks possible?
I'm the CTO of a seed-stage B2B fintech SaaS startup. We just closed our $5M seed round. It took us far longer than we would have liked to raise, but we now have plenty of runway. A fair, but not great, number of customers, some of whom REALLY like our product. But we're still far from profitable and our growth numbers are eh. It's hard, but not impossible, for us to stay differentiated from the larger players in our space. We recently launched a large product that's requirin
Show HN: I wrote my first neural network
I have been interested in neural nets since the 90's. I've done quite a bit of reading, but never gotten around to writing code. I used Gemini in place of Wikipedia to fill in the gaps of my knowledge. The coolest part of this was learning about dual numbers. You can see in early commits that I did not yet know about auto-diff; I was thinking I'd have to integrate a CAS library or something. Now, I'm off to play with TensorFlow.
Claude AI Gets Weirdly Slow After 9 PM (I Noticed It While Reviewing Code)
I ran into something interesting recently while using Claude AI to review some of my code.During the day the responses were *fast*. I could paste a file, ask for suggestions, iterate quickly, and the workflow felt smooth.But when I tried doing the same thing later in the evening — around *9 PM and after* — the experience changed a lot.Responses suddenly took *much longer*.
Sometimes it would sit there “thinking” for quite a while before returning the review.At first I assumed it was something
Ask HN: Is Another Editor Needed?
I have been stuck with JetBrains IDE for years now. I have no issue with the software(except the period few years ago around the time when they changed the UI and the background tasks were going insane which made me stick with old 2022 version for years), just with the company. I never liked VS Code, the UI does not work for me. I was hoping Zed would be my way out but it lacks some things I require, which prompted me to start working on my own editor.It's a low priority project but I did t
Show HN: Fastify's slow startup is an AJV problem – here's a drop-in fix
When using schemas, Fastify's startup speed is heavily affected by its schema compiler, AJV. AJV compiles every schema on startup. That's not the problem. The problem is it's quite slow, and they admit this themselves on their docs: https://ajv.js.org/guide/getting-started.html
The more routes, the more complex your schemas, the longer you wait. For most people this isn't a bottleneck — schemas are relatively simple and routes are few. But for serverless f