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Quantum computers exist today, although they’re limited, cut-down versions of what we hope fully blown quantum computers are going to be able to do in the future.

But now, researchers have developed hardware for a ‘probabilistic computer’ – a device that might be able to bridge the gap between genuine quantum computers and the standard PCs and Macs we have today.

The special trick that a probabilistic computer can do is to solve quantum problems without actually going quantum, as it were. It does this using a p-bit, which the team behind this research describes as a “poor man’s qubit”.

Washington — Researchers have developed a new microwave imager chip that could one day enable low-cost handheld microwave imagers, or cameras. Because microwaves can travel through certain opaque objects, the new imagers could be useful for imaging through walls or detecting tumors through tissue in the body.

In Optica, The Optical Society’s (OSA) journal for high-impact research, the researchers describe how they used a standard semiconductor fabrication process to make a microwave imager chip containing more than 1,000 photonic components. The square chip measures just over 2 millimeters on each side, making it about half the width of a pencil eraser.

“Today’s practical microwave imagers are bench-top systems that are bulky and expensive,” said research team leader Firooz Aflatouni from the University of Pennsylvania, USA. “Our new near-field imager uses optical, rather than electronic, devices to process the microwave signal. This enabled us to make a chip-based imager similar to the optical camera chips in many smartphones.”

When the structure of DNA was elucidated in 1953, an unimaginable world of possibilities was opened. But we couldn’t even begin to dream about how we would go about using such powerful knowledge. Thirty years later, PCR — the process to replicate DNA in the lab — was developed, and innovation exploded. In 2001 — nearly twenty years ago — the first full human genome was sequenced and published.

The information we’ve uncovered through DNA is enabling us to explore and develop solutions for a variety of problems, from how to mimic human disease in animal models to finding new treatments and cures for devastating diseases such as cancer and Alzheimer’s.

Continue reading “DNA spells tomorrow: how DNA tech will impact our world” »

In two breakthroughs in the realm of photonics, City College of New York graduate researchers are reporting the successful demonstration of an LED (light-emitting diode) based on half-light half-matter quasiparticles in atomically thin materials. This is also the first successful test of an electrically driven light emitter using atomically thin semiconductors embedded in a light trapping structure (optical cavity).

The research is led by graduate physics student Jie Gu and post-doctoral fellow Biswanath Chakraborty, in collaboration with another graduate student, Mandeep Khatoniyar.

According to Vinod Menon, chair of physics in City College’s Division of Science and the research team’s mentor, their double feat, reported in the journal Nature Nanotechnology, marks an important milestone in the field of 2-D materials and, more broadly, LEDs.

In music, “portamento” is a term that’s been used for hundreds of years, referring to the effect of gliding a note at one pitch into a note of a lower or higher pitch. But only instruments that can continuously vary in pitch—such as the human voice, string instruments, and trombones—can pull off the effect.

Now an MIT student has invented a novel algorithm that produces a portamento effect between any two audio signals in real-time. In experiments, the algorithm seamlessly merged various audio clips, such as a piano note gliding into a human voice, and one song blending into another. His paper describing the algorithm won the “best student paper” award at the recent International Conference on Digital Audio Effects.

The algorithm relies on “optimal transport,” a geometry-based framework that determines the most efficient ways to move objects—or data points—between multiple origin and destination configurations. Formulated in the 1700s, the framework has been applied to supply chains, fluid dynamics, image alignment, 3D modeling, computer graphics, and more.

A quasi-particle that travels along the interface of a metal and dielectric material may be the solution to problems caused by shrinking electronic components, according to an international team of engineers.

“Microelectronic chips are ubiquitous today,” said Akhlesh Lakhtakia, Evan Pugh University Professor and Charles Godfrey Binder Professor of Engineering Science and Mechanics, Penn State. “Delay time for signal propagation in metal-wire interconnects, electrical loss in metals leading to temperature rise, and cross-talk between neighboring interconnects arising from miniaturization and densification limits the speed of these chips.”

These electronic components are in our smartphones, tablets, computers and security systems and they are used in hospital equipment, defense installations and our transportation infrastructure.

A team of researchers affiliated with several institutions in France has observed a phase transition in an artificially created flock. In their paper published in the journal Physical Review Letters, the group describes how they created their artificial flock and the events that led to a phase transition.

Scientists trying to understand crowd behavior generally create computer models meant to mimic human behavior under crowded conditions—but such simulations are limited by the parameters that are used to create them. Most in the field agree on the need to recreate crowd or flocking behavior physically in a lab. In this new effort, the researchers have built on prior work with an artificial crowd, and have found that under certain conditions it underwent a phase transition similar to water freezing to an ice state.

Working on a prior effort, some of the team members created an artificial crowd consisting of millions of beads suspended in a liquid between two plates of glass. The plates were joined in a way that allowed the beads to move around the outer edges of an oval—similar to cars on a partially three-dimensional race track. The beads were forced to move in one direction by applying an electric field—the Quincke effect spun the beads, which pushed them through the liquid in the same direction. Also, due to a dipole effect, the beads did not adhere to one another—instead, they moved around the track, seemingly of their own accord. The prior team showed that increasing density of the beads could set off a Vicsek-like transition in which randomly moving particles exhibit flock-like behaviors. In this new effort, the researchers used the same setup with the beads to create a flock and then watched what would happen as density was increased.

“DNA is like a computer program but far, far more advanced than any software ever created.” Bill Gates wrote this in 1995, long before synthetic biology – a scientific discipline focused on reading, writing, and editing DNA – was being harnessed to program living cells. Today, the cost to order a custom DNA sequence has fallen faster than Moore’s law; perhaps that’s why the Microsoft founder is turning a significant part of his attention, and wallet, towards this exciting field.

Bill Gates is not the only tech founder billionaire that sees a parallel between bits and biology, either. Many other tech founders – the same people that made their money programming 1s and 0s – are now investing in biotech founders poised to make their own fortunes by programming A’s, T’s, G’s and C’s.

The industry has raised more than $12.3B in the last 10 years and last year, 98 synthetic biology companies collectively raised $3.8 billion, compared to just under $400 million total invested less than a decade ago. Synthetic biology companies are disrupting nearly every industry, from agriculture to medicine to cell-based meats. Engineered microorganisms are even being used to produce more sustainable fabrics and manufacture biofuels from recycled carbon emissions.