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Emerging Technologies

Covers approaches to information processing (computing, communication, sensing) and bio-chemical analysis based on alternatives to silicon CMOS-based technologies, such as nanoscale electronic, photonic, spin-based, superconducting, mechanical, bio-chemical and quantum technologies (this list is not exclusive). Topics of interest include (1) building blocks for emerging technologies, their scalability and adoption in larger systems, including integration with traditional technologies, (2) modeling, design and optimization of novel devices and systems, (3) models of computation, algorithm design and programming for emerging technologies.

Papers reviewed in the last 7 days lead, then the papers readers actually read. Ranking is not a quality score.

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This paper reviews recent advancements in mm-wave oscillators below 100 GHz and…

A literature review summarizing design approaches, performance metrics, challenges, and emerging techniques for mm-wave and sub-THz/THz…

· “Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies”

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PoLaRIS claims a single flow from device design to DRV-free layouts

Merges fabrication-aware inverse design with automated placement and routing to cut manual PIC layout work.

· “Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation”

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Compact model ties ReRAM symmetry point to equilibrium defect state

Simulations show pulsed symmetry point matches quasi-static equilibrium defect state; an I-V sweep can predict it.

· “Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM via Compact Modeling”

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Researchers designed a 2nm SRAM memory cell that moves its two access transistors into…

A simulated hybrid silicon/IGO monolithic-3D 6T SRAM with back-end-of-line pass-gates gives 25% area reduction and 42% faster writes at the…

· “A Process-Aware Hybrid Si/IGO Monolithic-3D 6T SRAM with BEOL Pass-Gates for the 2nm Node”

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To catch chip security bugs, combine five verification methods

Simulation, formal checks, lint, LLM review, and fuzzing each catch different bug classes; pre-silicon flows need them together.

· “Lessons from the Hardware Hacking Competitions: Verification Techniques, Findings, and Insights”

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Hybrid intelligence requires two-way adaptation

A framework defines when a living culture plus an AI becomes one co-adaptive computing system, and the benchmarks to prove it.

· “Biological-Hybrid Intelligence: A Conceptual Framework for Distributed Biological--Artificial Computation”

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Humans, not bots, drove the 21x surge in AI-era pull requests

A census of 33,228 merged PRs finds more contributors and denser discussion per PR, with PR size unchanged.

· “Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen”

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A single topological cut replaces whole buffer rows in AQFP placement

Retiming-first flow cuts Josephson-junction overhead by an order of magnitude and closes timing on the full AQFP benchmark suite.

· “RIVERPlace: Repairing Interconnect Violations with Efficient Retiming and Incremental Placement for AQFP Circuits”

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Three-stage tuning lifts C-to-Rust success from 72% to 87%

A 27B model beats much larger rivals after Rust pretraining, Verus debugging, and LeetCode task tuning.

· “Fine-Tuning Qwen3-27B for C-to-Rust Code Translation: A Three-Stage Curriculum of Pretraining, Debugging-Aware SFT, and Task-Specific SFT”

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Nine-qubit probe extracts texture order hidden in image phases

A 16-channel phase descriptor separates drug classes, malaria stages, and tissue types across three microscopy datasets.

· “Quantum-Inspired Phase Bicoherence Spectroscopy: A Framework for Detecting Universal Textural Angular Order Across Multi-Modal Complex Datasets”

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Classical models beat quantum for intrusion detection—mostly

A four-dataset audit finds two narrow quantum edges; the rest is classical preprocessing and regularisation.

· “How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection”

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SVD encoding makes VQLS 10,000x faster per step

For fluid-flow linear systems, how the matrix is encoded matters more than ansatz choice; memory also drops up to 1,298x.

· “Memory-, Circuit-, and Ansatz-Efficient VQLS for CFD on Hybrid Quantum-HPC Systems”

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Mortality model hits AUROC 0.852 with 605 parameters

A compact quantum LSTM plus LLM-chosen features beats a same-size classical LSTM for cardiac-arrest ICU mortality.

· “QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction”

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Figure from the paper

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