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Chains of fused carbon-containing rings have unique optoelectronic properties that make them useful as semiconductors. These chains, known as acenes, can also be tuned to emit different colors of light, which makes them good candidates for use in organic light-emitting diodes.

The color of light emitted by an acene is determined by its length, but as the molecules become longer, they also become less stable, which has hindered their widespread use in light-emitting applications.

MIT chemists have now come up with a way to make these molecules more stable, allowing them to synthesize acenes of varying lengths. Using their new approach, they were able to build molecules that emit red, orange, yellow, green, or blue light, which could make acenes easier to deploy in a variety of applications.

The flash drive of the future?

In a new study published in Optica, researchers at the University of Colorado Boulder have used doughnut-shaped beams of light to take detailed images of objects too tiny to view with traditional microscopes.

The new technique could help scientists improve the inner workings of a range of “nanoelectronics,” including the miniature semiconductors in computer chips. The discovery was also highlighted in a special issue of Optics & Photonics News.

The research is the latest advance in the field of ptychography, a difficult-to-pronounce (the “p” is silent) but powerful technique for viewing very small things. Unlike traditional microscopes, ptychography tools don’t directly view small objects. Instead, they shine lasers at a target and then measure how the light scatters away—a bit like the microscopic equivalent of making shadow puppets on a wall.

This is the concept behind mind uploading – the idea that we may one day be able to transition a person from their biological body to a synthetic hardware. The idea originated in an intellectual movement called transhumanism and has several key advocates including computer scientist Ray Kurzweil, philosopher Nick Bostrom and neuroscientist Randal Koene.

The transhumanists’ central hope is to transcend the human condition through scientific and technological progress. They believe mind uploading may allow us to live as long as we want (but not necessarily forever). It might even let us improve ourselves, such as by having simulated brains that run faster and more efficiently than biological ones. It’s a techno-optimist’s dream for the future. But does it have any substance?

The feasibility of mind uploading rests on three core assumptions.

IonQ and IBM lead North Carolina quantum computing push with Duke Quantum Center and NC State quantum hub in Durham and Raleigh.

Quantum computers promise to solve some problems exponentially faster than classical computers, but there are only a handful of examples with such a dramatic speedup, such as Shor’s factoring algorithm and quantum simulation. Of those few examples, the majority of them involve simulating physical systems that are inherently quantum mechanical — a natural application for quantum computers. But what about simulating systems that are not inherently quantum? Can quantum computers offer an exponential advantage for this?

In “Exponential quantum speedup in simulating coupled classical oscillators”, published in Physical Review X (PRX) and presented at the Symposium on Foundations of Computer Science (FOCS 2023), we report on the discovery of a new quantum algorithm that offers an exponential advantage for simulating coupled classical harmonic oscillators. These are some of the most fundamental, ubiquitous systems in nature and can describe the physics of countless natural systems, from electrical circuits to molecular vibrations to the mechanics of bridges. In collaboration with Dominic Berry of Macquarie University and Nathan Wiebe of the University of Toronto, we found a mapping that can transform any system involving coupled oscillators into a problem describing the time evolution of a quantum system. Given certain constraints, this problem can be solved with a quantum computer exponentially faster than it can with a classical computer.

The company announces its latest huge chip — but will now focus on developing smaller chips with a fresh approach to ‘error correction’

The field of research focusing on self-propelled particles, known as active particles, is rapidly expanding. In most theoretical models, these particles are assumed to maintain a constant swimming speed. However, this assumption does not hold true for many experimentally produced particles, like those propelled by ultrasound for medical applications. Their propulsion speed varies with orientation.

A team of physicists, led by Prof. Raphael Wittkowski from the University of Münster and including Prof. Michael Cates from the University of Cambridge, conducted a collaborative study to explore how this orientation-dependent speed influences the behavior of particle systems, particularly in cluster formation.

They combined computer simulations with theoretical analysis to uncover new effects in systems of active particles with orientation-dependent speeds. Their findings were recently published in the journal Physical Review Letters.

It is now contributing carbon-free energy to the grid that serves Google’s Nevada data centers.