Results 141 to 150 of about 154,173 (259)
Blind Quantum Machine Learning with Quantum Bipartite Correlator
Distributed quantum computing is a promising computational paradigm for performing computations that are beyond the reach of individual quantum devices. Privacy in distributed quantum computing is critical for maintaining confidentiality and protecting the data in the presence of untrusted computing nodes. In this work, we introduce novel blind quantum
Changhao Li +13 more
openaire +3 more sources
Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen +18 more
wiley +1 more source
Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets. [PDF]
Peixoto MC +4 more
europepmc +1 more source
A Quest for the Mechanism of Ultrahigh Resolution SEM Imaging
Using Monte Carlo simulations with explicit definitions of SE1 and SE2 align with a cascade secondary electron production model, this work shows that the 3D nanostructure modulated SE2 emission enhances other than to reduce topographical contrast via a “miniature Faraday cup” effect.
Hao Tian Chen +3 more
wiley +1 more source
Oncological Applications of Quantum Machine Learning. [PDF]
Rahimi M, Asadi F.
europepmc +1 more source
In situ observation of VLS growth in a confined microreactor reveals various growth modes of monolayer TMDCs, including abnormal ribbon growth and particle‐driven growth. The confined space and precursor balance influence droplet behavior and growth dynamics, offering new insights into the controlled synthesis of TMDCs via the VLS mechanism.
Hiroo Suzuki +6 more
wiley +1 more source
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
The electric‐field‐driven antiferroelectric‐to‐ferroelectric phase transition in epitaxial PbZrO3 films is directly visualized by in situ aberration‐corrected scanning transmission electron microscopy. A sequential transition pathway involving an orthorhombic ferrielectric phase and a monoclinic ferroelectric phase, ultimately stabilizing into a ...
Yan‐Peng Feng +6 more
wiley +1 more source

