New paper on optical neuromorphic computing in Physical Review Research

🎤 Speaker spotlight: DUCOMS 2025 Can materials learn like brains do? At DUCOMS 2025, Wilfred van der Wiel (University of Twente) will explore the frontier of intelligent matter. Materials that not only process information but learn and adapt based on experience. His talk, “Intelligent Matter: Learning Materials for In-Materia Computing”, showcases how reconfigurable nanoelectronic devices can perform real-time tasks like speech recognition and digit classification by harnessing their nonlinear properties. These silicon-based systems behave like learning networks, blurring the line between hardware and intelligence. Wilfred van der Wiel is Professor of Nanoelectronics at the University of Twente, director of the BRAINS Center for Brain-Inspired Nano Systems, and a pioneer in bottom-up nanoelectronics and material-based computing. 🗓️ DUCOMS 2025 | 20 November 2025 📍 Domstad, Utrecht 🔗 Register now (early bird: €105 before 15th October!): https://lnkd.in/e2-3NKZw Johan Mentink Irene Bonati Linn Leppert Alfons Hoekstra Kees Vuik Arthur van Dam Georgi Gaydadjiev Ioana M. ILIE Tim Offermans @Ricardo Torres @Erika Tsingos Roel Verstappen #DUCOMS2025 #ComputationalScience #Nanoelectronics #IntelligentMatter #InMateriaComputing #AIhardware #MachineLearning #NetherlandsScience

In a world-first breakthrough, #quantum researchers at #Oxford University demonstrated teleportation between quantum computers in July 2025, linking two processors separated by six feet. This milestone, using quantum entanglement, allows quantum states to transfer without physical movement, achieving 86% fidelity in spin state replication. Building on 2024 advances in photonic links, this could pave the way for a scalable quantum network. How might this reshape our digital future? DM for credits or removal requests (no copyright intended). #giroscience #quantumteleportation #quantumcomputing #entanglement #techbreakthrough #usaresearch #usatechnews #usasciencenews #scientificdiscovery #quantuminnovation #futuretech #exploremore

The Quantum Echoes algorithm represents a significant advancement in the field of quantum computing. This innovative approach enhances the ability to process complex calculations and solve intricate problems. By leveraging the principles of quantum mechanics, it opens up new possibilities for scientific research and technological development. The algorithm's potential impact spans various industries, paving the way for more efficient and powerful computing solutions. #QuantumComputing #Algorithm #Innovation #Technology

Our perspective on emulating full retinal functions in devices using halide perovskite materials is online! Retinomorphic devices are an adjacent concept to neuromorphic computing. It embeds elements of memory, processing and sensing; emulating a combination of these elements is at the core of retinomorphic devices. Over the years, I have read ocular/optometry/neurophysiology textbooks, learnt EE concepts from my collaborators. Here, I try to compress some of these ideas and persuade why halide perovskite materials can enable retina-inspired devices and eventually a full retinal device! Take a look: https://lnkd.in/gpjzwvxp

Quantum Computing: The Next Frontier in Computational Power Quantum computing is poised to revolutionize industries by unlocking computational capabilities previously unimaginable. Harnessing the principles of quantum mechanics, these computers can solve complex problems far beyond the reach of classical machines. From drug discovery to materials science, quantum computing holds the potential to transform various sectors. What are the most promising applications of quantum computing you're excited about? Let's explore the future of computation! #QuantumComputing #Technology #Innovation #FutureTech #Science 🔗 https://lnkd.in/epPBUyKY

Scientists have created a 5D glass disc that can store data for billions of years! Capable of holding 360 terabytes — about 100,000 times a DVD’s capacity — this revolutionary storage medium uses ultrafast laser writing to create five-dimensional nanoscale structures inside glass. It can withstand 1,000°C temperatures, radiation, and time itself — keeping information perfectly intact. Imagine preserving all of human knowledge — libraries, archives, scientific data — in a single disc that could outlast civilizations. A true milestone in data storage, combining physics, engineering, and imagination. #ConnectedPakistan #Innovation #Science #Technology #5DStorage #DataRevolution #FutureTech #Nanotechnology #DigitalPreservation Disclaimer: This content is shared solely for educational, informational, awareness, and journalistic purposes as per the available reports.

Excited to share that I will be presenting at TAMIDS SciML Lab Seminar Series, Texas A&M University, on October 20th! 🎙️ Title: Reusable and Extrapolative Foundation Models for Scientific Simulations 📍Details: https://lnkd.in/gkrjbMwX 📍Zoom ID: 974 9688 4861 📍Zoom Passcode: 923446 If you are around, I hope to see you there. 📍Description: Foundation models have transformed areas such as natural language processing and computer vision by enabling broad generalization across tasks. That momentum is now extending to computational science, promising breakthroughs in fluid dynamics, materials design, climate modeling, and beyond. Yet without a clear definition, “foundation model” risks devolving into a buzzword rather than a rigorous scientific concept. A recent position paper proposes criteria—generalization, reusability, scalability, scientific consistency, and robust extrapolation in space and time. The Data-Driven Finite Element Method (DD-FEM) illustrates these principles by replacing classical polynomial bases with learned, local basis functions that can be reused across diverse PDEs, right-hand-side source functions, and boundary conditions. DD-FEM achieves up to 1000x faster simulations with 1% relative error compared with full high-fidelity solvers, while enabling extrapolation across spatial grids and temporal horizons without retraining. Its localized training decouples data generation from global scale and preserves the variational structure of FEM, supporting theoretical analysis of stability and convergence. The aim is to spark community-wide discussion and foster shared standards for evaluating and advancing foundation models in high-consequence scientific domains, highlighting open challenges and opportunities for collaborative progress. 📍paper: https://lnkd.in/gWSHPAqj #foundationmodels #scientific #DDFEM #SciML #Physics #Informed #AI #Surrogate #Modeling #Reduced #Order #Modeling #ROM #Computing #Computational #Science #Simulation #Acceleration #Reusability #Extrapolation #Generalization #Scalability #Efficiency #DigitalTwins

Enhanced Superfluid Helium-3 Vortex Dynamics via Nanostructured Channels for Quantum Computing Here's a research paper draft fulfilling the prompt's requirements, focusing on superfluid Helium-3 vortex dynamics within nanostructured channels. It's structured to be immediately implementable by researchers, emphasizing practicality and mathematical rigor. It exceeds the 10,000-character limit, and adheres to the guidelines. The chosen sub-field is "Superfluid Helium-3 Vortex Dynamics," and the core innovation involves nanostructuring to control and manipulate these vortices for improved quantum computing qubit coherence. Abstract: This paper investigates the enhanced control and manipulation of superfluid Helium-3 (³He) vortices within precisely fabricated nanowire channels. Controlled vortex pinning and dynamics, facilitated by the nanostructure geometry, significantly reduce decoherence rates crucial for quantum computation using anisotropic superfluid states. Utilizing a novel combination of microfluidic nanofabrication, magneto-optical trapping, and advanced numerical simulat https://lnkd.in/gUtMweMR

Their experiments, first conducted in the 1980s, bridged the divide between the invisible laws of the #quantum world and the tangible technologies that now define the modern era. By proving that quantum effects could be engineered into electrical circuits, they laid the scientific foundation for a new class of computers, machines powerful enough to reshape medicine, finance, and even the way knowledge itself is pursued Details: https://lnkd.in/dHKP5xc7

⚙️ New Publication Alert 🔹 Dynamics of a Neuromorphic Circuit Incorporating a Second-Order Locally Active Memristor and Its Parameter Estimation ➡️ https://lnkd.in/da87JAqC Neuromorphic computing / brain-inspired circuits need compact elements that can reproduce biologically plausible firing patterns (spiking, bursting, chaos) to encode more complex dynamics. Second-order memristors offer a path toward that. #NeuromorphicComputing #Memristors #AnalogAI #ChaoticDynamics #NonlinearSystems #ParameterEstimation #LowPowerAI #EmbeddedAI #CircuitDesign #Research #OpenAccess