Research Bits: May 3


Fingerprinting quantum noise Scientists from the University of Chicago and Purdue University propose a different method of understanding the effect of noise in quantum computers. Instead of trying to measure it directly, they created a 'fingerprint' of how the noise impacts a program run on the computer. “We wondered if there was a way to work with the noise, instead of against it,” sai... » read more

Parallel Circuit Execution & NISQ Computing


Research from LIRMM, University of Montpellier, CNRS. Abstract "Quantum computing is performed on Noisy Intermediate-Scale Quantum (NISQ) hardware in the short term. Only small circuits can be executed reliably on a quantum machine due to the unavoidable noisy quantum operations on NISQ devices, leading to the under-utilization of hardware resources. With the growing demand to access quan... » read more

Current Knowledge & Future Development In 2D Magnetic Materials Research


Abstract: "Magnetism in two-dimensional (2D) van der Waals (vdW) materials has recently emerged as one of the most promising areas in condensed matter research, with many exciting emerging properties and significant potential for applications ranging from topological magnonics to low-power spintronics, quantum computing, and optical communications. In the brief time after their discovery, 2D... » read more

Research Bits: April 26


Photonic quantum computers Researchers from Stanford University propose a simpler design method for photonic quantum computers. The proposed design uses a laser to manipulate a single atom that, in turn, can modify the state of the photons via a phenomenon called “quantum teleportation.” The atom can be reset and reused for many quantum gates, eliminating the need to build multiple distinc... » read more

Architecting Faster Computers


To create faster computers, the industry must take a major step back and re-examine choices that were made half a century ago. One of the most likely approaches involves dropping demands for determinism, and this is being attempted in several different forms. Since the establishment of the von Neumann architecture for computers, small, incremental improvements have been made to architectures... » read more

Quantum Machine Learning: Security Threats & Lines Of Defense


New research paper from Pennsylvania State University explores quantum machine learning (QML) and its use in hardware security. Find the technical paper here. April 2022. Satwik Kundu and Swaroop Ghosh. 2022. Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses (Invited). In Proceedings of the Great Lakes Symposium on VLSI 2022 (GLSVLSI ’22), June 6–8,... » read more

Research Bits: April 5


Creating qubits in bulk Researchers from Intel and QuTech, an institute of the Delft University of Technology and the Netherlands Organisation for Applied Scientific Research (TNO), built a qubit using standard semiconductor manufacturing facilities. The qubit is based on the spin of single electrons that are captured in a silicon nanoscale device, which resembles conventional transistors. ... » read more

Qubits made by advanced semiconductor manufacturing


Abstract: "Full-scale quantum computers require the integration of millions of qubits, and the potential of using industrial semiconductor manufacturing to meet this need has driven the development of quantum computing in silicon quantum dots. However, fabrication has so far relied on electron-beam lithography and, with a few exceptions, conventional lift-off processes that suffer from low yie... » read more

Wavelength Multiplexed Ultralow-Power Photonic Edge Computing


Abstract "Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors -- and this trend is accelerated by the simultaneous move towards Internet-of-Things (IoT) devices. Numerous efforts are underway to lower power consumption, but ... » read more

Week In Review: Manufacturing, Test


Worldwide fab equipment spending for front-end manufacturing is expected to hit $107 billion this year, an 18% year-over-year increase, according to SEMI’s latest World Fab Forecast report. “Crossing the $100 billion mark in spending on global fab equipment for the first time is a historic milestone for the semiconductor industry,” said Ajit Manocha, president and CEO of SEMI. Investme... » read more

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