Results 91 to 100 of about 164,762 (248)
Laser &Photonics Reviews, EarlyView.This review explores deconvolution techniques in optical coherence tomography (OCT), addressing resolution degradation from point‐spread functions (PSF). It reviews foundational principles (e.g., Richardson‐Lucy deconvolution) to advanced AI‐driven methods, emphasizing clinical translation and interdisciplinary collaboration. Real‐world implementations
Syeda Aimen Abbasi +6 more
wiley +1 more source
Materials Genome Engineering Advances, EarlyView.The present work establishes high‐throughput database (more than 4500 structures) of SHC in antiperovskites and screens 295 structurally stable compounds and identifies 24 compounds with intrinsic SHC exceeding 500 (ℏ/e) (Ω⁻1 cm⁻1), which is crucial for designing future electric and spintronic devices.
Xiong Xu +5 more
wiley +1 more source
Scenario‐free robust optimization algorithm for IMRT and IMPT treatment planning
Medical Physics, EarlyView.Abstract Background Robust treatment planning algorithms for intensity modulated proton therapy (IMPT) and intensity modulated radiation therapy (IMRT) allow for uncertainty reduction in the delivered dose distributions through explicit inclusion of error scenarios.
Remo Cristoforetti +2 more
wiley +1 more source
Growth Phenomena and Bandgap Shift in Melt‐Grown β‐(InxGa1−x)2O3 Alloys
physica status solidi (b), EarlyView.Alloys in the In2O3‐Ga2O3 system are interesting for optoelectronic applications, particularly where bandgap tuning is desirable. Herein, β‐(InxGa1−x)2O3 alloys with target compositions x = 0.025 or 0.10 are grown from the melt using the Czochralski and vertical gradient freeze techniques.
Benjamin L. Dutton +8 more
wiley +1 more source
Statistical Complexity of Quantum Learning
Advanced Quantum Technologies, EarlyView.The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
What can we Learn from Quantum Convolutional Neural Networks?
Advanced Quantum Technologies, EarlyView.Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano +3 more
wiley +1 more source
Performance of a Superconducting Quantum Battery
Advanced Quantum Technologies, EarlyView.The authors introduce a scheme for superconducting quantum battery (SQB) consisting of two coupled superconducting qubits that interact during the unitary charging process while remaining in equilibrium with a thermal reservoir. This work highlights the complexities of tuning system parameters, which increase the potential for work extraction from the ...
Samira Elghaayda +5 more
wiley +1 more source
Violation of No‐Signaling on a Public Quantum Computer
Advanced Quantum Technologies, EarlyView.No‐signaling is the simplest consequence of lack of communication, assumed in Bell tests of nonlocality. Its violation indicated serious malfunction of the system. Tested on IBM Quantum, no‐signaling turned out to be violated at various configurations. As simple crosstalk cannot explain it, an urgent investigation of the origin is necessary.
Tomasz Rybotycki +3 more
wiley +1 more source
Cuprate Twistronics for Quantum Hardware
Advanced Quantum Technologies, EarlyView.This review bridges decades of foundational research with emerging fabrication techniques such as molecular beam epitaxy and cryogenic stacking. By enabling control over electronic correlations and symmetry in twisted cuprate heterostructures, it highlights how cuprate twistronics could open new paths to overcome decoherence and scalability challenges ...
Tommaso Confalone +14 more
wiley +1 more source
Small Science, EarlyView.TiO2 is highly relevant in photoelectrochemistry, (photo)catalysis, and sensor applications, where high conductivity is crucial. Herein, a co‐doping strategy for TiO2 using Nb(V) and Sn(IV) is developed, enhancing electron extraction from perovskite and improving solar cell efficiency and stability.
Thomas W. Gries +29 more
wiley +1 more source