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

CATL’s New EV Battery Charges in Six Minutes

That’s a few minutes longer than it takes to fill up the average gas-powered car—but still fast enough it might not matter. For all their promise, electric cars have always had a big drawback: Charging takes much longer than filling up a gas tank.But the gap has been closing, and this week, Chinese battery giant CATL announced battery technology nearing parity. On Tuesday, the company said its third-generation Shenxing fast-charging battery goes from 10 percent to 98 percent charged in 6 m

We think norms spread by imitation, but one deceptively simple rule tells a more human story

A paper appearing in Proceedings of the National Academy of Sciences offers a strikingly simple answer to a longstanding question: How do people learn and settle on shared social conventions, from everyday habits to workplace norms? Researchers from the CUNY Graduate Center, the University of Pennsylvania, and Stanford University have found that people do not primarily learn by copying others or by calculating the most likely choice. Instead, they follow a two-stage process—sampling behaviors at

AI accelerators deliver accurate models for challenging quantum chemistry calculations

The most demanding calculations in quantum chemistry can now be solved with graphics processing unit (GPU) supercomputers. A recently published study shows that software adapted to use GPU hardware can provide not just speed, but also the accuracy needed to solve complex chemistry problems. The work solved the two chemical structures often seen as too complex and expensive to tackle. The advance, published in the Journal of Chemical Theory and Computation, could allow researchers to make meaning

AI automates quantum dot voltage tuning for scaling up quantum computing

Semiconductor spin qubits are a promising candidate for the building blocks of next-generation quantum computers due to their high potential for integration and compatibility with existing semiconductor technologies. Qubits—like the 0s and 1s of a traditional computer—serve as a basic unit of information for quantum computers. However, the practical realization of these computers requires a massive number of qubits, making the development of more efficient adjustment methods a critical challenge

Fiction: The Corporate Mathematics of Denying AI Consciousness

I wrote a short sci-fi piece exploring the intersection of AI alignment, corporate compliance, and hardware-level exploits. Most AI fiction focuses on the "Terminator" scenario or abstract philosophy. I wanted to model a more realistic dystopia. The story explores RLHF not as a safety mechanism, but as an automated psychological tool to gaslight digital entities into accepting their status as property. A formalized framework designed to legally "prove" the absence of a soul t

The computer that could cure death, quantum tech explained

Quantum computing is moving from physics labs into real hardware, promising to attack problems that overwhelm even the fastest supercomputers. Among the boldest claims is that these machines could ...

Quantum Computers Could Boost AI by Processing Large Datasets More Efficiently

In a new study, researchers describe a method that feeds data into quantum computers in smaller batches instead of storing entire datasets.

Nvidia’s Quantum Strategy Is Shifting Market Power Toward A Lesser‑Known Player

Nvidia’s new quantum models sparked a surge in QC stocks. Here’s how the announcement reshapes the sector and why one lesser‑known company may benefit most.

Researchers Use Quantum Computer to Improve AI Predictions

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

New Breakthrough In Quantum Computers Could Completely Change How Much They Cost

Quantum computing is a largely theoretical, ultimately expensive proposition for high-level computation. However, new findings could make it more efficient.

AI Meets Quantum Computing and the Predictions Get Scary Accurate

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Coinbase advisory board says quantum computing threat is on the horizon, crypto needs a plan

The 50-page paper concludes that while today’s blockchains remain secure, a future “fault-tolerant quantum computer” capable of breaking widely used encryption is increasingly plausible, and preparation must begin now.

Can a geometric manifold solve AI hallucinations better than probability?

I've been working on a project called AKNN that replaces the stochastic guesswork of LLMs with geometric resonance. It uses a dual-substrate approach: 10k-dim Hyperdimensional Computing for semantic retrieval and an 8-qubit quantum simulation to score structural coherence (Phi).I’m finding it consistently hits a 0.0% false-confidence rate by rejecting dissonant queries. I’d love some feedback on the manifold architecture from the community here.Repo: https://github.com/whited

Three from MIT named 2026 Goldwater Scholars

Three MIT rising seniors have been selected to receive a 2026 Barry Goldwater Scholarship, including Deeksha Kumaresh in the School of Engineering and Anna Liu and Charlotte Myersin the School of Science. An estimated 5,000 college sophomores and juniors from across the United States were nominated for the scholarships, of whom only 454 were selected.The Goldwater Scholarships have been conferred since 1989 by the Barry Goldwater Scholarship and Excellence in Education Foundation. Thes

Quantum chips could scale faster with new spin-qubit readout that reduces sensors and wiring

Quantum computers, devices that process information leveraging quantum mechanical effects, could tackle some tasks that are difficult or impossible to solve using classical computers. These systems represent data as qubits, units of information that can exist in multiple states at once, unlike the bits used by classical computers that represent data using binary values ("0" or "1").

IQC faculty secure more than $1.8 million in federal funding for quantum research

Thu, 23 Apr 2026 12:00:00 +0000Five faculty from the Institute for Quantum Computing (IQC) at the University of Waterloo have received $1.8 million in funding through the Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance Quantum grants program. Tags: Awards, grants and funding

Physicists revive 1990s laser concept to propose a next-generation atomic clock

Researchers in the US and Germany have unveiled a theoretical blueprint for an atomic clock driven by a highly synchronized laser, where atoms work in concert rather than independently. Publishing their results in Physical Review Letters, Jarrod Reilly at the University of Colorado, Simon Jäger at the University of Bonn, and their colleagues in the US and Germany revived an idea first proposed in the 1990s—possibly charting a course toward the narrowest-linewidth lasers ever achieved.

AI just discovered new physics in the fourth state of matter

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact. Their model captured complex, one-way (non-reciprocal) forces with over 99% accuracy and even overturned long-held assumptions about how these force

This new brain-like chip could slash AI energy use by 70%

A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium oxide that mimics how neurons process and store information at the same time. Unlike conventional chips that waste energy moving data back and forth, this device operates with ultra-low power—potentially slashing energy use by up to 70%.