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

Physicists identify unexpected quantum advantage in a permutation parity task

The parity-identification problem fits naturally into this landscape. Parity is a global property, insensitive to most local details. In this respect, it resembles many other quantities studied in ...

Why ‘quantum proteins’ could be the next big thing in biology

Crystal jellyfish have an eerie beauty: thanks to a natural protein, they emit a faint green glow. For decades, researchers ...

Wild new phase of time emerges as Rydberg atoms meet quantum light

Researchers at Chongqing University and Chongqing Normal University report a theoretical prediction of a new quantum phase of ...

Room-Temperature Quantum Device Could Transform Future Communications

A new room-temperature quantum device developed at Stanford uses twisted light and advanced materials to link photons and ...

D-Wave to Present Scientific Advancements in Annealing and Gate-Model Quantum Computing at APS Global Physics Summit

PALO ALTO, Calif., March 10, 2026--D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), the only dual-platform quantum computing company, providing both annealing and gate-model systems, software, and services, today announced that it will present new scientific results at the American Physical Society’s Global Physics Summit, the world’s largest physics conference, on March 15-20, 2026, in Denver, Colorado.

Can Rigetti's technology breakthroughs accelerate quantum progress?

Rigetti Computing RGTI continues to make notable strides in improving the performance of its quantum hardware, particularly ...

Precisely measuring quantum signals in large spin ensembles

Quantum mechanical effects are known to be easily disrupted by disturbances from the surrounding environment, commonly referred to as noise. To minimize these disturbances, physicists often study these effects in small and carefully controlled systems, in which environmental noise can be minimized.

Scientists may have discovered a brand-new mineral on Mars

Scientists studying Mars may have uncovered a brand-new mineral hidden in the planet’s ancient sulfate deposits. By combining laboratory experiments with orbital data, researchers identified an unusual iron sulfate—ferric hydroxysulfate—forming in layered deposits near the massive Valles Marineris canyon system. The mineral likely formed when sulfate-rich deposits left behind by ancient water were later heated by volcanic or geothermal activity, transforming their chemistry.

Cosmic voids look empty but they may be tearing the universe apart

Cosmic voids may seem like the emptiest places in the universe, stripped of matter, radiation, and even dark matter. But they’re far from nothing. Even in these vast empty regions, the fundamental quantum fields that fill all of space remain, carrying a small but real amount of energy known as vacuum energy, or dark energy. While this energy is overwhelmed by matter in galaxies and clusters, in the deep emptiness of cosmic voids it becomes dominant.

Hackers Are Automating Cyberattacks With AI. Defenders Are Using It to Fight Back.

Which side has the advantage will depend less on raw model capabilities and more on who adapts fastest. Cybersecurity is an endless game of cat and mouse as attackers and defenders refine their tools. Generative AI systems are now joining the fray on both sides of the battlefield.Though cybersecurity experts and model developers have been warning about potential AI-powered cyberattacks for years, there has been limited evidence hackers were widely exploiting the technology. But that is starting

Consortium to Build Quantum-Enabled ‘Brain-on-Chip’ Platform for Neurological Drug Discovery and Screening

Platform to detect human-relevant insights for discovery and development of therapies for neurological diseases, ...

Linked by entanglement, small telescopes may see like one colossal mirror

Space rarely gives up its secrets easily. For instance, what looks like a single ...

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 ...

NASA’s DART asteroid smash shows we could deflect a future threat

When NASA’s DART spacecraft deliberately crashed into the asteroid moonlet Dimorphos, it did more than change the asteroid’s local orbit — it slightly shifted the path of the entire asteroid pair around the Sun. The impact blasted debris into space, doubling the force of the spacecraft’s hit and nudging the system’s solar orbit by a tiny but measurable amount. It marks the first time humans have altered the trajectory of a celestial object around the Sun. The result strengthens the case for usin

Show HN: Run 500B+ Parameter LLMs Locally on a Mac Mini

Hi HN, I built OpenGraviton, an open-source AI inference engine that pushes the limits of running extremely large LLMs on consumer hardware. By combining 1.58-bit ternary quantization, dynamic sparsity with Top-K pruning and MoE routing, and mmap-based layer streaming, OpenGraviton can run models far larger than your system RAM—even on a Mac Mini. Early benchmarks: TinyLlama-1.1B drops from ~2GB (FP16) to ~0.24GB with ternary quantization. At 140B scale, models that normally require ~280GB fit w

Sumi – Open-source voice-to-text with local AI polishing

I'm based in Taiwan and run 3-4 Claude Code agents in parallel most of the day. Typing instructions to all of them was the actual bottleneck, so I built a voice-to-text tool that runs both STT and LLM polish locally.Architecture: two-stage pipeline. Stage 1 is speech recognition via Whisper (whisper-rs, 7 model variants, DTW timestamps) or Qwen3-ASR. I quantized the Qwen3-ASR model myself and wrote the inference pipeline in pure Rust. It handles accented speech and dialects better than Whis

Show HN: Efficient LLM Architectures for 32GB RAM (Ternary and Sparse Inference)

Hi HN,I’ve been exploring how far large language models can be pushed on machines with limited memory.I built an experimental runtime and architecture approach focused on making extremely large models more feasible on systems with around 32GB of RAM.The core idea is combining several efficiency techniques:ternary weight representation {-1, 0, +1} (~1.58 bits per weight), sparse execution that skips zero weights, memory-mapped layer streaming from NVMe storage, and lightweight tensor unpack

Show HN: NVFP4 on Desktop Blackwell – 122B MoE on a Single RTX PRO 6000 31 tok/s

Qwen 3.5 122B-A10B (MoE, ~10B active parameters) running in native NVFP4 on a single RTX PRO 6000 Blackwell GPU. 31 tokens/sec, 89GB VRAM, piecewise CUDA graphs. No multi-GPU, no cloud.Why this matters: NVIDIA's TRT-LLM explicitly blocks desktop Blackwell from FP4 — the error literally says "FP4 Gemm not supported before Blackwell, nor GeForce Blackwell." The RTX 5090, PRO 6000, and DGX Spark all use SM120 — same FP4 tensor cores as the B100/B200 datacenter chips (SM100)

Show HN: Drizby – WIP Metabase Alternative

Hello everyone! I am working on an open source reporting tool, that was mostly focused on the 'Embed analytics in your app' use case, which I found was either not great or not flexible or expensive, or all three!However, I decided today to use this library wrapped in an app that makes it work like Metabase (and I use 'like' in its broadest sense here as it is quite early in its life). I have pushed an initial version live this weekend, and am looking for input to help priorit