Results 71 to 80 of about 3,276,882 (200)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Stabilizer Codes and Quantum Error Correction [PDF]

open access: yes, 1997
Controlling operational errors and decoherence is one of the major challenges facing the field of quantum computation and other attempts to create specified many-particle entangled states.
Daniel Gottesman, Gottesman, Daniel Eric
core   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli   +4 more
wiley   +1 more source

Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators

open access: yesIEEE Access
Simulating large-scale coupled-oscillator systems presents substantial computational challenges for classical algorithms, particularly when pursuing first-principles analyses in the thermodynamic limit.
Natt Luangsirapornchai   +6 more
doaj   +1 more source

Efficient quantum amplitude encoding of polynomial functions [PDF]

open access: yes
Loading functions into quantum computers represents an essential step in several quantum algorithms, such as quantum partial differential equation solvers.
Gonzalez-Conde, Javier   +7 more
core   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall   +4 more
wiley   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren   +5 more
wiley   +1 more source

Efficient Quantum Answer Set Programming Solver Using Partial Diffusion and Entanglement

open access: yesIEEE Access
The relation between answer set programming (ASP) and combinatorial problems, especially the satisfiability problem (SAT), has attracted significant interest in the academic literature.
Esraa Ebdelrehime   +2 more
doaj   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi   +11 more
wiley   +1 more source

Simulation of Quantum Discrete Cosine Transform for Grayscale Image Compression Using Qiskit

open access: yesIEEE Access
The Discrete Cosine Transform (DCT) is an integral part of classical image compression, which becomes the basis of the JPEG standard. With advances in quantum computing, there is growing interest in exploring quantum analogues of classical algorithms for
Felix Montalfu   +3 more
doaj   +1 more source

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