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

Perfetto GPU Flow Artifacts

Understanding and Resolving Flow Artifacts in Perfetto GPU Profiling Traces

Updatez!

The STOC’2026 accepted papers list is out. It seems to me that there’s an emperor’s bounty of amazing stuff this year. I felt especially gratified to see the paper on the determination of BusyBeaver(5) on the list, reflecting a broad view of what theory of computing is about.There’s a phenomenal profile of Henry Yuen in Quanta magazine. Henry is now one of the world leaders of quantum complexity theory, involved in breakthroughs like MIP*=RE and now pioneering the comp

T-Labs demos commercial viability of quantum networking

The research and development arm of telco Deutsche Telekom has worked with Qunnect to demo quantum networking over 30km of optical fibre ...

Taking Quantum Logic to the Edge

Jason Turner, Chairman and CEO of Entanglement, started the AI quantum computing company in 2017. He quickly realized it was too early.

Qunnect and Cisco Demonstrate First Metro-Scale, High-Speed Quantum Entanglement Swapping Over Commercial Fiber

Qunnect today announced the first entanglement swapping demonstration of its kind over deployed metro-scale fiber using a commercial quantum networking system. The demonstration, which achieved record entanglement swapping rates, combined Qunnect's room-temperature quantum hardware with Cisco's quantum networking software stack. This milestone brings practical quantum networks closer to scalable deployment, validating a new spoke-and-hub model for scaling quantum networks through commercial data

Quantum entanglement pushes optical clocks to new precision

By replacing single atoms with an entangled pair of ions, physicists in Germany have demonstrated unprecedented stability in ...

I built two Loihi-parity neuromorphic processors from scratch

Catalyst — two generations of neuromorphic processor, built solo, from RTL to SDK to cloud API. Catalyst N1 (first generation — Loihi 1 feature parity): - 128 cores, 1,024 CUBA LIF neurons each, 131K CSR synapses per core - Programmable microcode learning engine: 16 registers, 14 opcodes (STDP, three-factor eligibility, homeostatic normalization) - 8-bit graded spike payloads (actually a Loihi 2 feature — N1 exceeds Loihi 1 here) - 3 synapse formats (sparse, dense, population-coded), pe

Ask HN: Why does it feel like qualifications are irrelevant to hirers?

I’m not talking about the job hunt grind, sending your perfect resume into the void of online job postings and getting no responses.I’m talking about inbounds from recruiters, for senior level roles, where you have a long trail of quantifiable accomplishments and a good network. I am not looking for a job, but I do often take calls just to see what’s out there, and I am rejected every time. It makes me curious (and also sympathetic to people actively seeking).I have numbers to back up my accompl

Ask HN: Does treating Inflation as a "Quantization Snap" resolve slow-roll?

I've been developing a theoretical derivation that treats the early universe as a computational system hitting an entropy wall. By applying the Radix Economy Law (from computer science) to M-Theory/holographic stability, the math seems to yield the ~60 e-folds of Cosmic Inflation as a "Quantization Snap" down to Base-3 (Ternary).I suspect there may be a flaw in the holographic stability bounds or the diffusion latency math, but I am seeking a rigorous critique from anyone fam

Show HN: I indexed the academic papers buried in the DOJ Epstein Files

The DOJ released ~3.5M pages of Epstein documents across 12 datasets. Buried in them are 207 academic papers and 14 books that nobody was really talking about. From what I understand these papers aren't usually freely accesible, but since they are public documents, now they are.I don't know, thought it was interesting to see what this dude was reading. You can check it out at jeescholar.com Pipeline: 1. Downloaded all 12 DOJ datasets + House Oversight Committee release 2. Heuristi

Show HN: Beautiful interactive explainers generated with Claude Code

Hello HN,Recently an amazingly beautiful explainer was shared on HN: https://explainers.blog/posts/why-is-the-sky-blue/I loved it so much that I wished more topics were explained that way. So, I decided to stress-test today's frontier models (Opus 4.6 in Claude Code) to generate similar explainer on any given topic WITH (almost) one shot and minimal nudging.I'm launching with four topics: Fourier transformation, scaling laws in bio, cellular automata and LLMs.I

Show HN: Hardware.dog: automated schematic and PCB review

I design a lot of hardware projects and kept running into the same problems:– digging through long datasheets to find constraints – checking whether parts were risky or going out of stock – looking for reference designs that already solved similar problems – catching obvious power or schematic issues too lateSo I started building small internal tools to help with this, and eventually turned them into a web tool.Right now it can:• review schematics and PCB exports for common issues • summarize da

The End of Nue Framework

Hello HN. I want to share something I’ve been thinking about for a while now. I’m stepping away from Nue [1][2] development to work on something new. This wasn’t an easy call, but I think it’s the right one. Here’s why.[1]: https://github.com/nuejs/nue [2]: https://nuejs.orgThe ecosystem chose React and TailwindI spent two years making the case for a simpler, standards-based alternative. Better architecture, faster builds, less complexity. None of it mattered. The f

Show HN: Emotional photoreal AI humans at $0.06 / min

Hey HN, we're the co-founders of Keyframe Labs. We train photoreal AI human models you can FaceTime with (try for yourself here: https://demo.keyframelabs.com). Notably, our models run at 60fps on a single consumer GPU (4090).Today we're shipping our new model, persona-1.5-live, the first to achieve both photorealism and emotion at conversational latency. We see this as a significant step toward passing the "Turing test" for video agents.Here's an unedited demo

Show HN: Orchestera – Managed Apache Spark on Kubernetes in Your Own AWS Account

I built Orchestera as a PaaS that allows you to orchestrate Apache Spark clusters in your own AWS account, with no additional markup on compute via EC2 instances.I built this because I was tired of the compute markup that products like AWS EMR and Databricks charge for the convenience of using Apache Spark via their platforms. One can argue that Databricks is a superior product with a lot of additional value in their offering but I don't see that with AWS EMR Apache Spark at all (given my p

A lightweight Windows tool for surfacing unusual system activity

I’ve been working on a small Windows tool to help surface unusual system behaviour — things like unexpected processes, odd outbound connections, or changes that might indicate something isn’t quite right.The goal was to build something lightweight that explains activity in plain language, without the noise or complexity of full security suites. It currently highlights things like:- unusual or suspicious processes - unexpected outbound network activity - changes to scheduled tasks - security‑rele

MIT faculty, alumni named 2026 Sloan Research Fellows

Eight MIT faculty and 22 additional MIT alumni are among 126 early-career researchers honored with 2026 Sloan Research Fellowships by the Alfred P. Sloan Foundation.The fellowships honor exceptional researchers at U.S. and Canadian educational institutions, whose creativity, innovation, and research accomplishments make them stand out as the next generation of leaders. Winners receive a two-year, $75,000 fellowship that can be used flexibly to advance the fellow’s research."The Sloan Resear

Terahertz spectroscopy finds nitrogen can lengthen GaAs-like LO phonon decay

An Osaka Metropolitan University-led research team investigated the decay time of coherent longitudinal optical (LO) phonons both in a GaAs1−xNx epilayer and in a GaAs single crystal to clarify the effects of dilute nitridation.

This ‘Machine Eye’ Could Give Robots Superhuman Reflexes

Running on a brain-like chip, the ‘eye’ could help robots and self-driving cars make split-second decisions. You’re driving in a winter storm at midnight. Icy rain smashes your windshield, immediately turning it into a sheet of frost. Your eyes dart across the highway, seeking any movement that could be wildlife, struggling vehicles, or highway responders trying to pass. Whether you find safe passage or meet catastrophe hinges on how fast you see and react.Even experienced drivers st