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

Beyond silicon: An indium selenide roadmap for ultra-low-power AI and quantum computing

A research team led by Prof. Seunguk Song from the Department of Energy Science at Sungkyunkwan University (SKKU), in ...

Tech bills of the week: quantum computing research; AI workforce development; and more

Lawmakers introduced measures this week to criminalize AI-generated impersonation, modernize NOAA’s weather radio system and create a nationwide network of cloud-enabled laboratories.

IBM scientists unveil the first ever ‘half-Möbius’ molecule, with the help of quantum computing

Scientists have just created a new, strange type of molecule. It’s made of a bunch of atoms bound together in a ring, like ...

Show HN: Ket – quantum circuit simulator, TypeScript, 3 back ends, 14 formats

I built a quantum circuit simulator that runs entirely in Node.js or the browser with no Python dependency.The core problem: every serious quantum tool requires Python. If you're building a web app, an educational tool, or just want to work in TypeScript, you're stuck either shelling out to Python or using libraries that are years stale.Three simulation backends in one library: - Statevector — sparse Map<bigint, Complex>, practical to ~20 qubits - MPS/tensor network — O(

OpenAI might end up on the right side of history

note: I am in MENA, am not with the military in any way.when i first read the statement by Dario, i was shocked by the fact the military was so dismissive about Ai safety (not to mention privacy). Seeing anthropic resist the military, I felt so proud of being a claude user to the point I deleted gpt right away. it's nice to see your fav products sync with your values.but today, after thinking more about it, i realized something. for a government to allow one Ai company to dictate terms, it

Show HN: I made Qwen3.5-4B 13% smarter by compressing it to 4-bit

Hi HN,Recently, there was a discussion here about Qwen3.5 fine-tuning where it was noted that QLoRA/4-bit quantization is "not recommended" due to severe accuracy degradation. I wanted to challenge this limitation.I developed a mixed-precision hybrid model (*Qwen3.5-4B-Singularity-Max*) that uses ~6.4GB of VRAM but actually achieves a lower Perplexity (6.74) than the original FP16 baseline (7.79).*How is this possible? (The Noise-Canceling Effect)* Instead of uniform quantization,

Show HN: Entropick – Plug quantum/hardware RNGs into LLM token sampling

Entropick is a vLLM plugin (also works with Transformers and llama.cpp) that swaps out the PRNG in token sampling with true randomness from external sources. I am using it with the Crypta Labs QCicada QRNG device: https://cryptalabs.com/quantum-random-number-generator/The core question: does the source of randomness in token sampling matter? Standard inference uses deterministic PRNGs. Entropick lets you swap in physical entropy and run controlled experiments across different

Particles may not follow Einstein’s paths after all

Physicists have long struggled to unite quantum mechanics—the theory governing tiny particles—with Einstein’s theory of gravity, which explains the behavior of stars, planets, and the structure of the universe. Researchers at TU Wien have now taken a new step toward that goal by rethinking one of relativity’s core ideas: the paths particles follow through curved spacetime, known as geodesics. By creating a quantum version of these paths—called the q-desic equation—the team showed that particles

Engineers make magnets behave like graphene

Engineers have discovered an unexpected link between two very different realms of physics: the behavior of electrons in graphene and magnetic waves in specially engineered materials. By designing a thin magnetic film with a hexagonal pattern of holes—similar to graphene’s structure—the researchers showed that magnetic “spin waves” can follow the same mathematical rules as graphene’s famously unusual electrons. The surprising overlap reveals a deeper connection between electronic and magnetic sys

Superconductivity controlled by a built-in light-confining cavity

For the first time, physicists have demonstrated that a material's superconductivity can be altered by coupling it to an in-built, light-confining cavity. In experiments published in Nature, a team led by Itai Keren at Columbia University show how quantum properties can be deliberately engineered by bonding carefully chosen materials together—without applying any external light, pressure, or magnetic field.

Show HN: Go LLM inference with a Vulkan GPU back end that beats Ollama's CUDA

dlgo is an LLM inference engine written in Go. CPU path has zero dependencies beyond the standard library. GPU path uses Vulkan compute — no CUDA required.I benchmarked it against Ollama using the exact same GGUF files on an RTX 4070 Ti SUPER:GPU (dlgo Vulkan vs Ollama CUDA):Qwen3.5 0.8B: 239 tok/s vs 187 tok/s — 28% faster Gemma 3 270M: 456 tok/s vs 503 tok/s (−9%) SmolLM2 360M: 420 tok/s vs 451 tok/s (−7%) 10 models tested, within 7–25% of CUDA on standard archite

Plenty of AI hype, but not much useful software?

I’ve followed BetaList and similar directories for years, and I regularly read side-project posts here on Hacker News.With the explosion of AI coding assistants, I expected a noticeable increase in useful small SaaS tools and practical software. But honestly, I’m not sure I see it.HN users have always built impressive things. One example I remember: a developer who quickly built a simple website to help his family find COVID vaccine appointments, it cost about $50 to build. Stories like that sho

Rigetti Computing Reports Fourth Quarter and Full-Year 2025 Financial Results

Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced its financial results for the fourth quarter and year ended ...

Quantum entanglement offers route to higher-resolution optical astronomy

Researchers in the US have demonstrated how quantum entanglement could be used to detect optical signals from astronomical sources at the single-photon level. Published in Nature, a team led by Pieter-Jan Stas at Harvard University showed how extremely weak light signals could be detected across a fiber link spanning more than 1.5 km—possibly paving the way for optical telescopes with unprecedented resolution.

How long does it take to get last liquid drops from kitchen containers? These physicists know the answer

At some point, most people have found themselves holding a tilted carton of milk or bottle of cooking oil, patiently waiting for the last drops to drip out. Now, physicists at Brown University have done the math to show just how long you might have to wait.

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The ”JVG algorithm” is crap

Sorry to interrupt your regular programming about the AI apocalypse, etc., and return to the traditional beat of this blog’s very earliest years … but I’ve now gotten multiple messages asking me to comment on something called the “JVG (Jesse–Victor–Gharabaghi) algorithm” (yes, the authors named it after themselves). This is presented as a massive improvement over Shor’s factoring algorithm, which could (according to popular articles) allow RSA-2048 to be brok

A perfectly balanced atom just broke one of nuclear physics’ biggest rules

Physicists have discovered a surprising new “Island of Inversion” in a place no one expected: among nuclei where the number of protons equals the number of neutrons. For decades, these strange regions—where atomic nuclei abandon their usual orderly structure and become strongly deformed—were thought to exist only in highly neutron-rich isotopes far from stability. But experiments on molybdenum isotopes revealed that molybdenum-84 behaves dramatically differently from its close neighbor molybdenu

NASA DART mission reveals asteroids throw “cosmic snowballs” at each other

Asteroids with tiny moons may be quietly trading material across space. Images from NASA’s DART mission revealed faint streaks on the moon Dimorphos—evidence of slow “cosmic snowballs” drifting from its parent asteroid, Didymos. The discovery provides the first direct visual proof that sunlight can spin asteroids fast enough to shed debris that lands on nearby companions. It also shows that near-Earth asteroids are much more active and constantly reshaped than scientists once believed.