Repurposing Josephson Junctions At The Cell Boundaries For Fan-out (UCSB)


A technical paper titled "Low-Cost Superconducting Fan-Out with Repurposed Josephson Junctions" was published by researchers at UC Santa Barbara.  The paper received an award at the Applied Superconductivity Conference in Oct 2022 and was highlighted in this UCSB news article. Abstract: "Superconductor electronics (SCE) promise computer systems with orders of magnitude higher speeds and lo... » read more

Cost Characteristics of the 2.5D Chiplet-Based SiP System


A technical paper titled "Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies" was published by researchers at UCSB, University of California, Santa Barbara. Abstract: "The chiplet-based System-in-Package~(SiP) technology enables more design flexibility via various inter-chiplet connection and heterogeneous integration. However, it is not known how to ... » read more

Two Chip-Scale Photonic Systems For Optical Data Transmission & Microwave Photonics


New research paper "Microcomb-driven silicon photonic systems" from Peking University, UCSB, and Peng Cheng Laboratory. Abstract "Microcombs have sparked a surge of applications over the past decade, ranging from optical communications to metrology. Despite their diverse deployment, most microcomb-based systems rely on a large amount of bulky elements and equipment to fulfil their desir... » read more

Technical Paper Round-Up: April 19


New technical papers include selective etching, ISO 26262 test bench, hardware accelerators, RISC-V, lidar, EUV mask inspection, fault attacks, edge computing, gallium oxide, and machine learning for VLSI CAD-on-chip power grid design. Cutting-edge research is now a global effort. It extends from the U.S. Air Force, to schools such as MIT, and universities in Italy, Spain, Portugal, India, K... » read more

Gallium Oxide Power Electronic Roadmap


New research paper addressing challenges in using gallium oxide. ABSTRACT "Gallium Oxide has undergone rapid technological maturation over the last decade, pushing it to the forefront of ultra-wide band gap semiconductor technologies. Maximizing the potential for a new semiconductor system requires a concerted effort by the community to address technical barriers which limit performance. Du... » read more

Reconstruction of Bloch wavefunctions of holes in a semiconductor


Summary "A central goal of condensed-matter physics is to understand how the diverse electronic and optical properties of crystalline materials emerge from the wavelike motion of electrons through periodically arranged atoms. However, more than 90 years after Bloch derived the functional forms of electronic waves in crystals [1] (now known as Bloch wavefunctions), rapid scattering processes ha... » read more

Materials and Device Simulations for Silicon Qubit Design and Optimization


Abstract: "Silicon-based microelectronics technology is extremely mature, yet this profoundly important material is now also poised to become a foundation for quantum information processing technologies. In this article, we review the properties of silicon that have made it the material of choice for semiconductor-based qubits with an emphasis on the role that modeling and simulation have play... » read more

Communication Algorithm-Architecture Co-Design for Distributed Deep Learning


"Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, distributed stochastic gradient descent intensively invokes all-reduce operations for gradient update, which dominates communication time during iterative training epochs. In this work, we identify th... » read more

System Bits: June 19


ML algorithm 3D scan comparison up to 1,000 times faster To address the issue of medical image registration that typically takes two hours or more to meticulously align each of potentially a million pixels in the combined scans, MIT researchers have created a machine-learning algorithm they say can register brain scans and other 3D images more than 1,000 times more quickly using novel learning... » read more

System Bits: July 18


Melanoma predicted from images with a high degree of accuracy by neural network model The poke and punch of traditional melanoma biopsies could be avoided in the near future, thanks to work by UC Santa Barbara researchers. UCSB undergrad Abhishek Bhattacharya is using the power of artificial intelligence to help people ascertain whether that new and strange mark is, in fact, the deadly skin... » read more

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