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New non-volatile memory platform built with covalent organic frameworks

Researchers at Institute of Science Tokyo have created a new material platform for non-volatile memories using covalent organic frameworks (COFs), which are crystalline solids with high thermal stability. The researchers successfully installed electric-field-responsive dipolar rotors into COFs.

Due to the unique structure of the COFs, the dipolar rotors can flip in response to an without being hampered by a steric hindrance from the surroundings, and their orientation can be held at ambient temperature for a long time, which are necessary conditions for non-volatile memories. The study is published in the Journal of the American Chemical Society.

Humans have made great efforts to record information by inventing recording media such as clay, paper, compact disks, and semiconductor memories. As the physical entity that holds information—such as indentations, characters, pits, or transistors—becomes smaller and its becomes higher, the information is stored with higher density. In rewritable memories, the class called “non-volatile memories” are suitable for storing data for a long time, such as for days and years.

3D-printed micro ion traps could solve quantum tech’s miniaturization problem

The existing bottleneck in efficiently miniaturizing components for quantum computers could be eased with the help of 3D printing.

Quantum computers tackle massive computational challenges by harnessing the power of countless tiny parts working seamlessly together. Trapped ion technology, where charged particles like ions are trapped by manipulating the , is one such component.

Current microfabrication techniques fall short when it comes to producing the complex electrode structures with optimal ion confinement suitable for quantum operations.

Quantum Computers Mimic Black Holes To Probe Cosmic Secrets

The difference between traditional computers and quantum computers is narrowing in their ability to simulate the scrambling of quantum information. A team of four researchers at RIKEN has successfully used two small quantum computers to simulate quantum information scrambling, a key process in qu

A twist in spintronics: Chiral magnetic nanohelices control spins at room temperature

Spintronics, or spin-electronics, is a revolutionary approach to information processing that utilizes the intrinsic angular momentum (spin) of electrons, rather than solely relying on electric charge flow. This technology promises faster, more energy-efficient data storage and logic devices. A central challenge in fully realizing spintronics has been the development of materials that can precisely control electron spin direction.

In a new development for spin-nanotechnology, researchers led by Professor Young Keun Kim of Korea University and Professor Ki Tae Nam of Seoul National University have successfully created magnetic nanohelices that can control electron spin.

This technology, which utilizes chiral magnetic materials to regulate electron spin at room temperature, has been published in Science.

UCLA Engineers Build Room-Temperature Quantum-Inspired Computer

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to design computers capable of handling a difficult class of tasks known as combinatorial optimization problems. These challenges are central to many everyday applications, includi

Solar-boosted system turns wasted data center heat into clean power

When you stream a movie, back up a photo or ask ChatGPT a question, somewhere a data center is working hard—and getting hot. Cooling those facilities already consumes a huge share of their electricity, and nearly half of that energy leaves as low-temperature waste heat that’s simply vented into the air.

SeeMe detects hidden signs of consciousness in brain injury patients

SeeMe, a computer vision tool tested by Stony Brook University researchers, was able to detect low-amplitude, voluntary facial movements in comatose acute brain injury patients days before clinicians could identify overt responses.

Close friends know that I have a standing “do not unplug” order should I ever fall into an unresponsive state. If there is even a flicker of a chance that the mind is still working, I will be fine. Keep me plugged in and hang a “do not disturb” sign on whatever apparatus is keeping me alive.

It’s not like you can know in advance what it’s like, but it seems relaxed enough, with plenty of time to think, and I haven’t really gained anything useful from conversations with other humans in years (aside from my editors who always provide valuable information). If it is at all like sleeping, there might be dreams, so, perchance, that’s what I’d be doing in a comatose state. But for the friends by my bedside, how to be certain that the mind is still flickering?

Algorithms that address malicious noise could result in more accurate, dependable quantum computing

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists have developed algorithms that account for noise that is not just random but malicious. Their work could help make quantum computers more accurate and dependable.

Scientists create scalable quantum node linking light and matter

Quantum scientists in Innsbruck have taken a major leap toward building the internet of the future. Using a string of calcium ions and finely tuned lasers, they created quantum nodes capable of generating streams of entangled photons with 92% fidelity. This scalable setup could one day link quantum computers across continents, enable unbreakable communication, and even transform timekeeping by powering a global network of optical atomic clocks that are so precise they’d barely lose a second over the universe’s entire lifetime.

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