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Showing 28154 results for "avoidance learning" in Physics
Physics Preprint PDF DOI

Constraint-oriented biased quantum search for linear constrained combinatorial optimization problems

Soren Wilkening, Timo Ziegler, Maximilian Hess ยท 2025

In this paper, we extend a previously presented Grover-based heuristic to tackle general combinatorial optimization problems with linear constraints. We further describe the introduced method as a fraโ€ฆ

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Physics Preprint PDF DOI

Hardware-inspired Continuous Variables Quantum Optical Neural Networks

Todor Krasimirov-Ivanov, Alba Cervera-Lierta, Paolo Stornati, Federico Centrone ยท 2025

Continuous-variables (CV) quantum optics is a natural formalism for neural networks (NNs) due to its ability to reproduce the information processing of such trainable interconnected systems. In quantuโ€ฆ

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Physics Preprint PDF DOI

The dependence of the intracluster light fraction on galaxy cluster properties

Louisa Canepa, Sarah Brough, Mireia Montes, Nina Hatch ยท 2025

We use machine learning to measure the intracluster light (ICL) fractions of 177 galaxy groups and clusters identified from Hyper Suprime-Cam Subaru Strategic Program imaging to explore how the ICL vaโ€ฆ

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Physics Preprint PDF DOI

Meta-Learning for Quantum Optimization via Quantum Sequence Model

Yu-Cheng Lin, Yu-Chao Hsu, Samuel Yen-Chi Chen ยท 2025

The Quantum Approximate Optimization Algorithm (QAOA) is a leading approach for solving combinatorial optimization problems on near-term quantum processors. However, finding good variational parameterโ€ฆ

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Physics Preprint PDF DOI

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory

Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Kuo-Chung Peng, Nan-Yow Chen, Samuel Yen-Chi Chen, En-Jui Kuo, Hsi-Sheng Goan ยท 2025

Long short-term memory (LSTM) models are a particular type of recurrent neural networks (RNNs) that are central to sequential modeling tasks in domains such as urban telecommunication forecasting, wheโ€ฆ

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Physics Preprint PDF DOI

Thermodynamics vs Teleodynamics: A Cosmological Divide?

Oem Trivedi, Venkat Venkatasubramanian ยท 2025

We show that stationary black holes and the evolving universe belong to fundamentally different thermodynamic regimes: black holes obey ordinary Bekenstein Hawking thermodynamics, whereas cosmology neโ€ฆ

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Physics Preprint PDF DOI

Evolution of Generic Varying-Tension Cosmic Strings in Expanding Spacetimes

Hubert Lau Sze Chun, Joseph Conlon ยท 2025

It has recently been realised that strings with time-dependent tensions exhibit interesting dynamics; in particular, when the tension decreases loops of string can grow and possibly percolate. We exteโ€ฆ

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Physics Preprint PDF DOI

PVLS: A Learning-based Parameter Prediction Technique for Variational Quantum Linear Solvers

Youla Yang ยท 2025

Variational Quantum Linear Solvers (VQLS) are a promising method for solving linear systems on near-term quantum devices. However, their performance is often limited by barren plateaus and inefficientโ€ฆ

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Physics Preprint PDF DOI

From orbital analysis to active learning: an integrated strategy for the accelerated design of TADF emitters

Jean-Pierre Tchapet Njafa, Steve Cabrel Teguia Kouam, Patrick Mvoto Kongo, Serge Guy Nana Engo ยท 2025

Thermally Activated Delayed Fluorescence (TADF) emitters must satisfy two competing requirements: small singlet-triplet energy gaps for thermal upconversion and sufficient spin-orbit coupling for fastโ€ฆ

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PENCO: A Physics-Energy-Numerics-Consistent Operator for 3D Phase Field Modeling

Mostafa Bamdad, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Navid Valizadeh, Timon Rabczuk ยท 2025

Accurate and efficient solutions of spatiotemporal partial differential equations (PDEs), such as phase-field models, are fundamental for understanding interfacial dynamics and microstructural evolutiโ€ฆ

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Physics Preprint PDF DOI

aim-resolve: Automatic Identification and Modeling for Bayesian Radio Interferometric Imaging

Richard Fuchs, Jakob Knollmuller, Jakob Roth, Vincent Eberle, Philipp Frank, Torsten A. En{ss}lin, Lukas Heinrich ยท 2025

Modern radio interferometers deliver large volumes of data containing high-sensitivity sky maps over wide fields-of-view. These large area observations can contain various and superposed structures suโ€ฆ

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Physics Preprint PDF DOI

Optimal Transport Event Representation for Anomaly Detection

Tianji Cai, Aditya Bhargava, Benjamin Nachman ยท 2025

We introduce optimal transport (OT) as a physics-based intermediate event representation for weakly supervised anomaly detection. With only $0.5\%$ injection of resonant signals in the LHC Olympics beโ€ฆ

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287,872 Supermassive Black Holes Masses: Deep Learning Approaching Reverberation Mapping Accuracy

Yuhao Lu, HengJian SiTu, Jie Li, Yixuan Li, Yang Liu, Wenbin Lin, Yu Wang ยท 2025

We present a population-scale catalogue of 287,872 supermassive black hole masses with high accuracy. Using a deep encoder-decoder network trained on optical spectra with reverberation-mapping (RM) baโ€ฆ

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The next-to-next-to-leading-order QCD corrections to $e^+e^-\to \eta_c/\chi_{cJ}+\gamma$ at B factories

Cong Li, Wen-Long Sang, Hong-Fei Zhang ยท 2025

We investigate the processes $e^+e^-\to \eta_c+\gamma$ and $e^+e^-\to \chi_{cJ}+\gamma$ at B factories within the NRQCD factorization framework, computing the corresponding helicity amplitudes throughโ€ฆ

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Physics Preprint PDF DOI

Accelerating discovery of infrared nonlinear optical materials with large shift current via high-throughput screening

Aiqin Yang, Dian Jin, Mingkang Liu, Daye Zheng, Qi Wang, Qiangqiang Gu, Jian-Hua Jiang ยท 2025

Discovering nonlinear optical (NLO) materials with strong shift current response, particularly in the infrared (IR) regime, is essential for next-generation optoelectronics yet remains highly challengโ€ฆ

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Physics Preprint PDF DOI

A Mutual Information-based Metric for Temporal Expressivity and Trainability Estimation in Quantum Policy Gradient Pipelines

Jaehun Jeong, Donghwa Ji, Kabgyun Jeong ยท 2025

In recent years, various limitations of conventional supervised learning have been identified, motivating the development of reinforcement learning--and quantum reinforcement learning that leverages qโ€ฆ

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Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run

Damon Beveridge, Alistair McLeod, Linqing Wen, Weichangfeng Guo, Andreas Wicenec ยท 2025

The detection of gravitational waves from compact binary coalescences has provided significant insights into our Universe, and the discovery of new and unique gravitational wave candidates from indepeโ€ฆ

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Physics Preprint PDF DOI

Optimal Scaling Quantum Interior Point Method for Linear Optimization

Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Pouya Sampourmahani, Jun-Kai You, Tamas Terlaky ยท 2025

The emergence of huge-scale, data-intensive linear optimization (LO) problems in applications such as machine learning has driven the need for more computationally efficient interior point methods (IPโ€ฆ

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Relative Wavefront Error Correction Over a 2.4 km Free-Space Optical Link via Machine Learning

Nathan K. Long, Benjamin P. Dix-Matthews, Alex Frost, John Wallis, Ziqing Wang, Kenneth J. Grant, Robert Malaney ยท 2025

In coherent optical communication across turbulent atmospheric channels, reference beacons can be multiplexed with information-encoded signals during transmission. In this case, it is commonly assumedโ€ฆ

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An Analysis of a Coronal Mass Ejection Leading Edge by Means of Multi-Spacecraft-in-Beam Phase Scintillation

Jasper Edwards, Guifre Molera Calves, John Morgan, Mark Cheung ยท 2025

A Coronal Mass Ejection (CME) was detected crossing the radio signals transmitted by the Mars Express (MEX) and Tianwen-1 (TIW) spacecraft at a solar elongation of $4.4^{o}$. The impact of the CME wasโ€ฆ

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