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Category: computing – Page 9

Interdisciplinary teams across the Quantum Systems Accelerator (QSA) are using innovative approaches to push the boundaries of superconducting qubit technology, bridging the gap between today’s NISQ (Noisy Intermediate-Scale Quantum) systems and future fault-tolerant systems capable of impactful science applications.

QSA is one of the five United States Department of Energy National Quantum Information Science (QIS) Research Centers, bringing together leading pioneers in (QIS) and engineering across 15 partner institutions.

A superconducting is made from such as aluminum or niobium, which exhibit quantum effects when cooled to very low temperatures (typically around 20 millikelvins, or −273.13° C). Numerous technology companies and research teams across universities and national laboratories are leveraging for prototype scientific computing in this rapidly growing field.

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Today, most of us carry a fairly powerful computer in our hand—a smartphone. But computers weren’t always so portable. Since the 1980s, they have become smaller, lighter, and better equipped to store and process vast troves of data. Yet the silicon chips that power computers can only get so small.

“Over the past 50 years, the number of transistors we can put on a chip has doubled every two years,” said Kun Wang, assistant professor of physics at the University of Miami College of Arts and Sciences. “But we are rapidly reaching the physical limits for silicon-based electronics, and it’s more challenging to miniaturize using the we have been using for half a century.”

It’s a problem that Wang and many in his field of molecular electronics are hoping to solve. Specifically, they are looking for a way to conduct electricity without using silicon or metal, which are used to create computer chips today. Using tiny molecular materials for functional components, like transistors, sensors, and interconnects in electronic chips offers several advantages, especially as traditional silicon-based technologies approach their physical and performance limits.

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A UNSW Sydney mathematician has discovered a new method to tackle algebra’s oldest challenge—solving higher polynomial equations.

Polynomials are equations involving a variable raised to powers, such as the degree two polynomial: 1 + 4x – 3x2 = 0.

The equations are fundamental to math as well as science, where they have broad applications, like helping describe the movement of planets or writing computer programs.

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Imagine having to find your way with only a compass and the stars and being handed a GPS. This is what David Marpaung and colleagues have just done for designers of light-based chips. Through their discovery of steering light with sound, the UT researchers have made available a powerful new tool to expand the scope and performance of this up-and-coming technology that’s quickly moving beyond its traditional use in .

Detailed in Science Advances, Marpaung has essentially molded the precision and versatility of a well-known physical phenomenon called Stimulated Brillouin Scattering (SBS) into a form that’s ready for mass manufacturing.

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University of Pittsburgh School of Medicine scientists are one step closer to developing a brain-computer interface, or BCI, that allows people with tetraplegia to restore their lost sense of touch.

While exploring a digitally represented object through their artificially created sense of touch, users described the warm fur of a purring cat, the smooth rigid surface of a door key and the cool roundness of an apple. This research, a collaboration between Pitt and the University of Chicago, is published in Nature Communications.

In contrast to earlier experiments where artificial touch often felt like indistinct buzzing or tingling and didn’t vary from object to object, scientists gave BCI users control over the details of the electrical stimulation that creates tactile sensations, rather than making those decisions themselves. This key innovation allowed participants to recreate a sense of touch that felt intuitive to them.

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In this talk, Klaus Mainzer explores the connections between the Leibniz’ Monadology, the structure and function of the brain, and recent developments in quantum computing. He reflects on the nature of complexity, intelligence, and the possibilities of quantum information technologies.

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Polarization, along with intensity, wavelength, and phase, is a fundamental property of light. It enhances contrast and resolution in imaging compared to traditional intensity-based methods. On-chip polarization devices rely on complex four-pixel arrays or external polarizers.

Current solutions face two key challenges: limited spectral response in plasmonic and metasurface-based devices, and difficulty in simultaneously detecting the angle (AoLP) and degree (DoLP) of linear in low-dimensional anisotropic materials. Achieving wide-spectrum, high-precision polarization detection remains a critical challenge in the field.

To address this, a research team led by Prof. Li Liang from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Prof. Zhai Tianyou from Huazhong University of Science and Technology, has developed a novel “torsion unipolar barrier heterojunction” device.

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A research team from Skoltech and the University of Wuppertal in Germany determined that an all-optical universal logic gate that was previously developed at Skoltech can operate at a speed of 240 GHz at room temperature.

In an article published in the Physical Review B journal, the authors also examined what limits the time between successive condensations by examining the effect of bimolecular quenching—it plays a key role in limiting the speed of transistors.

The Skoltech Laboratory of Hybrid Photonics, headed by Distinguished Professor Pavlos Lagoudakis, Senior Vice President for Fundamental Research at Skoltech and a laureate of the Vyzov Scientific Prize, continues its research project on how to speed up computing and computers with optics.

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