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Quantum Computing: Google’s Surface Code Technique to Reduce Errors


A new technical paper titled "Quantum error correction below the surface code threshold" was published by researchers at Google and other collaborators. Abstract "Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed exponentially as more qubits are added. However, ... » read more

Steps to Fabricate Nanotips Overhanging From Chip Edge By a Few Micrometers (CNRS, CEA-Leti)


A new technical paper titled "Suspended tip overhanging from chip edge for atomic force microscopy with an optomechanical resonator" was published by researchers at Lab. d'Analyse et d'Architecture des Systèmes du CNRS and CEA-LETI. Abstract Raising the mechanical frequency of atomic force microscopy (AFM) probes to increase the measurement bandwidth has been a long-standing expectation in... » read more

Hardware-Side-Channel Leakage Contracts That Account For Glitches and Transitions (TU Graz)


A new technical paper titled "Closing the Gap: Leakage Contracts for Processors with Transitions and Glitches" was published by researchers at Graz University of Technology. Abstract "Security verification of masked software implementations of cryptographic algorithms must account for microarchitectural side-effects of CPUs. Leakage contracts were proposed to provide a formal separation bet... » read more

Analog In-Memory Computing: Fast Deep NN Training (IBM Research)


A new technical paper titled "Fast and robust analog in-memory deep neural network training" was published by researchers at IBM Research. Abstract "Analog in-memory computing is a promising future technology for efficiently accelerating deep learning networks. While using in-memory computing to accelerate the inference phase has been studied extensively, accelerating the training phase has... » read more

Flip-Chip Bonding Technique To Excite LN Resonators Via Noncontact Electrodes (Yale)


A new technical paper titled "Noncontact excitation of multi-GHz lithium niobate electromechanical resonators" was published by researchers at Yale University. Abstract "The demand for high-performance electromechanical resonators is ever-growing across diverse applications, ranging from sensing and time-keeping to advanced communication devices. Among the electromechanical materials being ... » read more

Fano Resonance in a Si PIC Using a Piezoelectrically Driven Mechanism (Ghent, imec)


A new technical paper titled "Piezoelectrically driven Fano resonance in silicon photonics" was published by researchers at Ghent University and imec. Abstract "Piezoelectric optomechanical platforms provide a promising avenue for efficient signal transduction between microwave and optical domains. Lead zirconate titanate (PZT) thin film stands out as a compelling choice for building such... » read more

New Strategies For Enhancing Transport Properties of Conducting Polymers (Cambridge, et al.)


A new technical paper titled "Non-equilibrium transport in polymer mixed ionic–electronic conductors at ultrahigh charge densities" was published by researchers at Cambridge University, Grenoble Alpes University, CNRS, Humboldt-Universität zu Berlin, et al. Abstract "Conducting polymers are mixed ionic–electronic conductors that are emerging candidates for neuromorphic computing, bioel... » read more

Microfluidic Cooling Design For Hotspots in Thermal Design Power Chips (Corintis)


A new technical paper titled "Glacierware: Hotspot-aware Microfluidic Cooling for High TDP Chips using Topology Optimization" was published by researchers at Corintis. Abstract: "The continuous increase in computational power of GPUs, essential for advancements in areas like artificial intelligence and data processing, is driving the adoption of liquid cooling in data centers. Skived copper... » read more

Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)


A new technical paper titled "Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems" was published by researchers at Tsinghua University. Abstract "Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism which introduces heavy communicat... » read more

ECTC 2024 Session Readout: Advancement of Metrology


A Electronic Components and Technology Conference (ECTC) session report titled "2024 ECTC Special Session Report: Advancing Metrology for Next-Generation Microelectronics" was published by NIST, Binghamton University, and TechSearch International. Abstract: "Metrology plays a pivotal role in semiconductor research, manufacturing, packaging and assembly. It is critical to the success of this... » read more

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