Results 61 to 70 of about 2,829,604 (309)

Super-quantum nonlocal correlations in quaternionic quantum theory

open access: yes, 2011
10.1142/S0219749911008052International Journal of Quantum Information961355 ...
MATTHEW MCKAGUE, McKague, M.
core   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

CUDA Quantum

open access: yes
<p>The 0.7.0 release adds support for using NVIDIA Quantum Cloud, giving you access to our most powerful GPU-accelerated simulators even if you don't have an NVIDIA GPU. With 0.7.0, we have furthermore greatly increased expressiveness of the Python
The CUDA Quantum development team
core   +2 more sources

QueenNet: Quantum-Enhanced Neural Network for Hyperspectral Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification is a critical task in the field of remote sensing. Existing deep learning models have made significant progress in HSI classification, but often suffer from parameter redundancy and insufficient noise robustness ...
Qingwang Wang   +5 more
doaj   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation

open access: yesApplied Sciences
In this study, we present an innovative approach to quantum image classification, specifically designed to mitigate the impact of noise interference.
Naihua Ji   +4 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

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam   +10 more
wiley   +1 more source

Quantum Text Encoding for Classification Tasks

open access: yes2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 2022
This paper explores text classification on quantum computers. Previous results have achieved perfect accuracy on an artificial dataset of 100 short sentences, but at the unscalable cost of using a qubit for each word. This paper demonstrates that an amplitude encoded feature map combined with a quantum support vector machine can achieve 62% average ...
Aaranya Alexander, Dominic Widdows
openaire   +3 more sources

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