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“Dark silicon” sounds like a magical artifact out of a fantasy novel. In reality, it’s one branch of a three-headed beast that foretells the end of advances in computation.

Ok—that might be too dramatic. But the looming problems in silicon-based computer chips are very real. Although computational power has exploded exponentially in the past five decades, we’ve begun hitting some intractable limits in further growth, both in terms of physics and economics.

Moore’s Law is dying. And chipmakers around the globe are asking, now what?

In years to come, quantum computers and quantum networks might be able to tackle tasks that are inaccessible to traditional computer systems. For instance, they could be used to simulate complex matter or enable fundamentally secure communications.

The elementary building blocks of quantum information systems are known as qubits. For to become a tangible reality, researchers will need to identify strategies to control many qubits with very high precision rates.

Spins of individual particles in solids, such as electrons and nuclei have recently shown great promise for the development of quantum networks. While some researchers were able to demonstrate an elementary control of these qubits, so far, no one has reported entangled quantum states containing more than three spins.

The cryptocurrency Bitcoin is limited by its astronomical electricity consumption and outsized carbon footprint. A nearly zero-energy alternative sounds too good to be true, but as School of Computer and Communication Sciences (IC) Professor Rachid Guerraoui explains, it all comes down to our understanding of what makes transactions secure.

To explain why the system developed in his Distributed Computing Lab (DCL) represents a paradigm shift in how we think about cryptocurrencies—and about digital trust in general—Professor Rachid Guerraoui uses a legal metaphor: all players in this new system are “innocent until proven guilty.”

This is in contrast to the traditional Bitcoin model first described in 2008 by Satoshi Nakamoto, which relies on solving a difficult problem called “consensus” to guarantee the security of transactions. In this model, everyone in a distributed system must agree on the validity of all transactions to prevent malicious players from cheating—for example, by spending the same digital tokens twice (double-spending). In order to prove their honesty and achieve consensus, players must execute complex—and energy-intensive—computing tasks that are then verified by the other players.

The Singapore-MIT Alliance for Research and Technology (SMART), MIT’s Research Enterprise in Singapore, has announced the successful development of a commercially viable way to manufacture integrated Silicon III-V Chips with high-performance III-V devices inserted into their design.

In most devices today, -based CMOS chips are used for computing, but they are not efficient for illumination and communications, resulting in low efficiency and heat generation. This is why current 5G on the market get very hot upon use and would shut down after a short time.

This is where III-V semiconductors are valuable. III-V chips are made from elements in the 3rd and 5th columns of the elemental periodic table such as Gallium Nitride (GaN) and Indium Gallium Arsenide (InGaAs). Due to their , they are exceptionally well suited for optoelectronics (LEDs) and communications (5G etc) — boosting efficiency substantially.

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.

Our ability to engineer biology is making DNA even more powerful. We are building upon the blueprint that was already there, strengthening it, giving it new and improved functions, and leveraging its characteristics to do useful things for us. Perfect examples include engineering the genomes of T cells to turn them into highly specific cancer fighters or modifying bacteria to produce useful products like insulin, food ingredients, or bioplastics. We are even beginning to use DNA to store information, perhaps one day replacing the physical hard drive.

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 , 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.