Results 91 to 100 of about 1,850,478 (263)

Encoding Arbitrary Ising Hamiltonians on Spatial Photonic Ising Machines

open access: yesPhysical Review Letters
Photonic Ising Machines constitute an emergent new paradigm of computation, geared towardstackling combinatorial optimization problems that can be reduced to the problem of finding theground state of an Ising model. Spatial Photonic Ising Machines have proven to be advantageousfor simulating fully connected large-scale spin systems.
Jason Sakellariou   +3 more
openaire   +5 more sources

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

Annealing by simulating the coherent Ising machine

open access: yesOptics Express, 2019
The coherent Ising machine (CIM) enables efficient sampling of low-lying energy states of the Ising Hamiltonian with all-to-all connectivity by encoding the spins in the amplitudes of pulsed modes in an optical parametric oscillator (OPO). The interaction between the pulses is realized by means of measurement-based optoelectronic feedforward which ...
Tiunov, ES, Ulanov, AE, Lvovsky, AI
openaire   +4 more sources

I/Q Digital Coherent Optical Ising Machine

open access: yes
We propose a digital-coherent Ising machine using complex I / Q signals that employs both amplitude and phase of optical pulses.
Masataka Nakazawa, Toshihiko Hirooka
core   +1 more source

Experimental Observation of Phase Transitions in Spatial Photonic Ising Machine

open access: yes, 2020
Statistical spin dynamics plays a key role to understand the working principle for novel optical Ising machines. Here we propose the gauge transformations for spatial photonic Ising machine, where a single spatial phase modulator simultaneously encodes ...
Junyi Huang (2432572)   +2 more
core   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

Requirements on bit resolution in optical Ising machine implementations with analog spin variables

open access: yesCommunications Physics
Optical Ising machines have emerged as a promising dynamical hardware solver for computational hard optimization problems. These Ising machines typically require an optical modulator to represent the analog spin variables of these problems.
Toon Sevenants   +2 more
doaj   +1 more source

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

open access: yesAdvanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun   +8 more
wiley   +1 more source

Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning

open access: yes, 2022
Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be implemented with Ising machines, their inability to perform fast statistical ...
Böhm, Fabian   +8 more
core   +1 more source

An Unbiased Geometry‐Resolved Membrane Platform for Proteome‐Scale Discovery of Membrane Curvature Sensors

open access: yesAdvanced Science, EarlyView.
A novel geometry‐resolved membrane platform provides a seamlessly integrated pipeline for studying curvature‐sensing proteins. By linking shotgun proteomics with quantitative imaging, this approach enables both the unbiased discovery and rigorous validation of novel sensors across the entire curvature range—positive, negative, and zero.
Takumi Komikawa   +6 more
wiley   +1 more source

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