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Category: computing – Page 181

Twisting Light Unlocks New Quantum Realms

A research team is studying how light moves through special circuits called optical waveguides, using a concept called topology. They’ve made an important discovery that combines stable light paths with light particle interactions, which could make quantum computers more reliable and lead to new technological advancements.

Scientific innovation often arises as synthesis from seemingly unrelated concepts. For instance, the reciprocity of electricity and magnetism paved the way for Maxwell’s theory of light, which, up until now, is continually being refined and extended with ideas from quantum mechanics.

Similarly, the research group of Professor Alexander Szameit at the Institute of Physics at the University of Rostock explores light evolution in optical waveguide circuits in the presence of topology. This abstract mathematical concept was initially developed to classify solid geometries according to their global properties. Szameit explains: “In topological systems, light only follows the global characteristics of the waveguide system. Local perturbations to the waveguides such as defects, vacancies, and disorder cannot divert its path.”

Intel’s Millikelvin Quantum Research Control Chip Provides Denser Integration with Qubits

Intel debuts new chip focused on addressing quantum computing’s wiring bottleneck.

Intel’s millikelvin quantum research control chip, code-named Pando Tree, establishes Intel as the first semiconductor manufacturer to demonstrate the distribution of cryogenic silicon spin qubit control electronics…

Sushil Subramanian is a research scientist at Intel where he works on integrated circuits and systems for qubit control in quantum computers. Co-author Stefano Pellerano is a senior principal engineer and lab director of the RF and Mixed-Signal Circuits Lab where he leads the research and development effort on cryogenic electronics for qubit control.

Physicists propose time crystal-based circuit board to reduce quantum computing errors

A trio of physicists, two with Uniwersytet Jagielloński in Poland and one with Swinburne University of Technology in Australia, are proposing the use of temporal printed circuit boards made using time crystals as a way to solve error problems on quantum computers. Krzysztof Giergiel, Krzysztof Sacha and Peter Hannaford have written a paper describing their ideas, which is currently available on the arXiv preprint server.

Novel Dry Deposition Revolutionizes Carbon Nanotubes

In today’s semiconductor manufacturing industry, the most advanced chips are produced at 7 nm and below where there is little room for error. Despite the difficulty and unrelenting pressures found in this microworld, engineers and scientists remain undeterred in their pursuit of cutting-edge processes, techniques or materials that push the boundaries of Moore’s Law. Through endless experimentation at the nanoscale level, designers and researchers seek to uncover minute improvements that have the potential to translate into millions—if not billions—of dollars in revenue for chipmakers.

The emergence of carbon nanotubes (CNTs) as a compelling alternative material to address inefficiencies in extreme ultraviolet (EUV) lithography has the potential to be one of those innovations. However, contemporary production methods create CNTs that fall short of expectations. To realize the full potential of CNTs requires a new production method that significantly improves their quality. Only then can they help the semiconductor industry deliver on the insatiable demands for advanced chips.

Before exploring the production methods behind creating CNTs, one must first understand why they are so crucial in the semiconductor industry.

Quantum computing breakthrough solves key obstacle for revolutionary tech

In the race to develop practical quantum computers, a team of researchers has achieved a significant milestone by demonstrating a new method for manipulating quantum information. This breakthrough, published in the journal Nature Communications, could lead to faster and more efficient quantum computing by harnessing the power of customizable “nonlinearities” in superconducting circuits.

Quantum computers promise to revolutionize computing by leveraging the principles of quantum mechanics to perform complex calculations that are impossible for classical computers. However, one of the main challenges in building quantum computers is the difficulty in manipulating and controlling quantum information, known as qubits.

The researchers, led by Axel M. Eriksson and Simone Gasparinetti from Chalmers University of Technology in Sweden, have developed a novel approach that allows for greater control over qubits by using a special type of superconducting circuit called a SNAIL (Superconducting Nonlinear Asymmetric Inductive eLement) resonator.