Výsledky vyhledávání - "tensor network"

Positive Bias Makes Tensor-Network Contraction Tractable

Autoři: Jiaqing Jiang Jielun Chen Norbert Schuch a další

Zdroj: arXiv

Témata: 101028 Mathematical modelling, Approximation Algortihm, FOS: Computer and information sciences, Quantum Physics, cs.CC, 103025 Quantenmechanik, 103036 Theoretische Physik, FOS: Physical sciences, Computational Complexity (cs.CC), Barvinok's Method, Computer Science - Computational Complexity, 103036 Theoretical physics, cs.DS, quant-ph, Computer Science - Data Structures and Algorithms, 103025 Quantum mechanics, 101028 Mathematische Modellierung, Tensor Network Contraction, Data Structures and Algorithms (cs.DS), Positive Bias, Quantum Physics (quant-ph)

Přístupová URL adresa: http://arxiv.org/abs/2410.05414

Swiftn: Accelerating Quantum Circuit Simulation Through Tensor Optimization

Autoři: Kim, Seunghwan Kim, Changjong Sim, Alex a další

Zdroj: 2025 IEEE 25TH INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID. 00

Témata: 5108 Quantum Physics (for-2020), 40 Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4009 Electronics, Sensors and Digital Hardware (for-2020), 4602 Artificial Intelligence (for-2020), 51 Physical Sciences (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Quantum Circuit Simulation, High-performance Computing, Tensor Network, Performance Modeling

Přístupová URL adresa: https://escholarship.org/uc/item/8fk0r2sn

Solving High-Dimensional Kolmogorov Backward Equations with Functional Hierarchical Tensor Operators: Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators

Autoři: Xun Tang Leah Collis Lexing Ying

Zdroj: SIAM Journal on Scientific Computing. 47:A613-A632

Témata: semigroup method, Ginzburg-Landau equations, Partial functional-differential equations, Monte Carlo methods, Numerical Analysis (math.NA), curse of dimensionality, 65M99, 15A69, 65F99, Monte Carlo methods applied to problems in statistical mechanics, Stochastic partial differential equations (aspects of stochastic analysis), Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics, Multilinear algebra, tensor calculus, functional tensor network, FOS: Mathematics, Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs, PDEs with randomness, stochastic partial differential equations, Mathematics - Numerical Analysis, Fokker-Planck equations, high-dimensional Kolmogorov backward equation, hierarchical tensor network

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2404.08823

Neural tensor network and adaptive graph convolution for sports action recognition

Autoři: Lin Teng Hang Li Yuchang Si

Zdroj: Journal of Applied Science and Engineering, Vol 29, Iss 6, Pp 1483-1491 (2025)

Témata: sports action recognition, neural tensor network, adaptive graph convolution, topk strategy, hybrid pooling model, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://jase.tku.edu.tw/articles/jase-202606-29-06-15; https://doaj.org/toc/2708-9967; https://doaj.org/toc/2708-9975

Přístupová URL adresa: https://doaj.org/article/944d1bf89ac24159bafdd105b110c661

Hyperspectral Image Completion Using Fully-Connected Extended Tensor Network Decomposition and Total Variation

Autoři: Yao Li Yujie Zhang Hongwei Li

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7543-7558 (2025)

Témata: Ocean engineering, extended tensor, QC801-809, Geophysics. Cosmic physics, hyperspectral image (HSI) completion, fully-connected tensor network (FCTN) decomposition, proximal alternating minimization, Augmented Lagrange multiplier, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/00dbc406ec7f43f5b821d8d6670af795

Re-uploading Data in Tensor Network

Zdroj: Electronics and Control Systems; Vol. 3 No. 85 (2025); 27-33
Электроника и системы управления; Том 3 № 85 (2025); 27-33
Електроніка та системи управління; Том 3 № 85 (2025); 27-33

Témata: differential evolution, квантові обчислення, quantum machine learning, quantum neural network, квантове машинне навчання, машинне навчання, повторне завантаження, quantum computing, machine learning, квантова нейронна мережа, тензорна мережа, безплідні плато, диференціальна еволюція, barren plateaus, re-uploading, tensor network

Popis souboru: application/pdf

Přístupová URL adresa: https://jrnl.nau.edu.ua/index.php/ESU/article/view/20428

A minimal tensor network beyond free fermions

Autoři: Carolin Wille Maksimilian Usoltcev Jens Eisert a další

Zdroj: SciPost Physics, Vol 18, Iss 6, p 196 (2025)

Témata: Physik, Quantum Physics, Strongly Correlated Electrons (cond-mat.str-el), minimal tensor network, Physics, QC1-999, Strongly Correlated Electrons, free fermions, FOS: Physical sciences, Quantum Physics (quant-ph), minimal model

Přístupová URL adresa: http://arxiv.org/abs/2412.04216
https://doaj.org/article/5b4b6cc0476e48b791c535523918af5f
https://refubium.fu-berlin.de/handle/fub188/48844
https://doi.org/10.21468/scipostphys.18.6.196
https://doi.org/10.17169/refubium-48567

Probing the many-body localized spin-glass phase through quench dynamics

Autoři: Brighi, Pietro Ljubotina, Marko Serbyn, Maksym

Zdroj: Physical Review B. 111

Témata: 103015 Kondensierte Materie, FOS: Physical sciences, Perturbation theory, Z_2 symmetry, Quantum many-body systems, 103015 Condensed matter, Spin glasses, Many-body localization, Disordered Systems and Neural Networks, 103024 Quantum field theory, Quantum quench, Quantum Physics, 1-dimensional spin chains, 103024 Quantenfeldtheorie, Strongly Correlated Electrons (cond-mat.str-el), Quantum Gases, Disordered Systems and Neural Networks (cond-mat.dis-nn), Rydberg gases, Quantum spin models, Tensor network methods, Exotic phases of matter, Disordered systems, Quantum Gases (cond-mat.quant-gas), Strongly Correlated Electrons, Quantum Physics (quant-ph), Nonequilibrium systems

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2502.08192
https://ucrisportal.univie.ac.at/de/publications/efae53b9-72e8-4c1a-be23-9893fc502f22
https://doi.org/10.48550/arXiv.2502.08192
https://phaidra.univie.ac.at/o:2171001
https://doi.org/10.1103/9fms-ygfz
https://hdl.handle.net/11353/10.2171001

Sign Problem in Tensor-Network Contraction

Autoři: Chen, Jielun Jiang, Jiaqing Hangleiter, Dominik a další

Zdroj: PRX Quantum, Vol 6, Iss 1, p 010312 (2025)
PRX Quantum

Témata: 101028 Mathematical modelling, 103025 Quantenmechanik, QC1-999, FOS: Physical sciences, QA76.75-76.765, Condensed Matter - Strongly Correlated Electrons, quant-ph, Computer software, cond-mat.stat-mech, Tensor network renormalization, Condensed Matter - Statistical Mechanics, Projected entangled pair states, Quantum Physics, Statistical Mechanics (cond-mat.stat-mech), Strongly Correlated Electrons (cond-mat.str-el), Physics, 103036 Theoretische Physik, Monte Carlo methods, Computational Physics (physics.comp-ph), Computational complexity, Tensor network methods, 103036 Theoretical physics, physics.comp-ph, 103025 Quantum mechanics, 101028 Mathematische Modellierung, cond-mat.str-el, Quantum Physics (quant-ph), Physics - Computational Physics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2404.19023
https://doaj.org/article/c4d6d483fc894fae8a3037415229929a
https://ucrisportal.univie.ac.at/de/publications/40b8a8b4-1ef6-44fc-a19a-8468a9838106
https://doi.org/10.48550/arXiv.2404.19023
https://phaidra.univie.ac.at/o:2115876
https://hdl.handle.net/11353/10.2115876
https://doi.org/10.1103/prxquantum.6.010312

Compositionality Unlocks Deep Interpretable Models

Autoři: Dooms, Thomas Gauderis, Ward Wiggins, Geraint a další

Přispěvatelé: Dooms, Thomas Gauderis, Ward Wiggins, Geraint a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, neural network, Compositional AI, low-rank and joint-sparse model, Tensor Network, Mechanistic Interpretability, Model Compression, Model Interpretation, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.02667
https://biblio.vub.ac.be/vubir/compositionality-unlocks-deep-interpretable-models(bf6e8709-24d2-4efe-b04d-04a4f8256a67).html
https://hdl.handle.net/20.500.14017/bf6e8709-24d2-4efe-b04d-04a4f8256a67

SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs

Autoři: Tomasz Śmierzchalski Anna M. Dziubyna Konrad Jałowiecki a další

Zdroj: SoftwareX, Vol 31, Iss , Pp 102257- (2025)

Témata: Spin-glass problems, Tensor network contractions, QUBO, Ising model, Random Markov field, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025002249; https://doaj.org/toc/2352-7110

Přístupová URL adresa: https://doaj.org/article/f61b1aa8afce4066a90b7e0d4579499e

Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks

Autoři: Tariq Mahmood Tanzila Saba Amjad Rehman

Zdroj: Journal of Big Data, Vol 12, Iss 1, Pp 1-35 (2025)

Témata: Breast cancer, Histopathological imaging, Deep learning, GLCM, LBP, Quantum tensor network, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Přístupová URL adresa: https://doaj.org/article/9dc98598263342489c411f7839c79897

A Logic Tensor Network-Based Neurosymbolic Framework for Explainable Diabetes Prediction

Autoři: Semanto Mondal Antonino Ferraro Fabiano Pecorelli a další

Zdroj: Applied Sciences, Vol 15, Iss 21, p 11806 (2025)

Témata: neurosymbolic AI, logic tensor network (LTN), explainability, symbolic reasoning, first-order logic, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/21/11806; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/4b94df88cc6d45e8b49856abbf44b966

Stable and efficient differentiation of tensor network algorithms

Autoři: Francuz, Anna Schuch, Norbert Vanhecke, Bram

Zdroj: Physical Review Research, Vol 7, Iss 1, p 013237 (2025)
Physical Review Research
arXiv

Témata: 101028 Mathematical modelling, Projected entangled pair states, Quantum Physics, Strongly Correlated Electrons (cond-mat.str-el), 103025 Quantenmechanik, Physics, QC1-999, 103036 Theoretische Physik, FOS: Physical sciences, Computational Physics (physics.comp-ph), Tensor network methods, Quantum many-body systems, Condensed Matter - Strongly Correlated Electrons, 103036 Theoretical physics, quant-ph, physics.comp-ph, Machine learning, 101028 Mathematische Modellierung, 103025 Quantum mechanics, cond-mat.str-el, Quantum Physics (quant-ph), Physics - Computational Physics, Strongly correlated systems

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2311.11894
https://doaj.org/article/975b52d4a2e24cdfad27203fb8e588f7
https://hdl.handle.net/11353/10.2121988
https://phaidra.univie.ac.at/o:2121988
https://doi.org/10.1103/physrevresearch.7.013237

Accurate Simulation of the Hubbard Model with Finite Fermionic Projected Entangled Pair States

Autoři: Liu, Wen-Yuan Zhai, Huanchen Peng, Ruojing a další

Zdroj: Physical Review Letters, 134(25), 256502, (2025-06-24)

Témata: Quantum simulation, Hubbard model, Projected entangled pair states, Tensor network methods, Tensor network renormalization

Relation: https://journals.aps.org/prl/supplemental/10.1103/r4q9-4yvj/fpeps-hubbard-SM.pdf; https://github.com/LiuWenyuan-Phy/2d-hubbard-data-fPEPS-PRL2025; https://arxiv.org/abs/arXiv:2502.13454; https://authors.library.caltech.edu/communities/caltechauthors/

Dostupnost: https://doi.org/10.1103/r4q9-4yvj

Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification

Autoři: Xueming Yan Han Huang Yaochu Jin a další

Zdroj: IEEE Transactions on Emerging Topics in Computational Intelligence. 8:350-363

Témata: neural architecture search, neural tensor network, classification, multi-hashing embedding, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Gradient-based method, multilingual text

Přístupová URL adresa: https://pub.uni-bielefeld.de/record/2982782
https://doi.org/10.1109/tetci.2023.3301774

2500 vibronic eigenstates of the NO3 radical

Autoři: Henrik R. Larsson Alexandra Viel Viel, Alexandra

Přispěvatelé: Henrik R. Larsson Alexandra Viel Viel, Alexandra

Zdroj: Physical Chemistry Chemical Physics. 26:24506-24523

Témata: Chemical Physics (physics.chem-ph), Density matrix renormalization group, Quantum Physics, Vibronic couplings, FOS: Physical sciences, Computational Physics (physics.comp-ph), [PHYS] Physics [physics], 3. Good health, Tree tensor network states (TTNS), [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, 13. Climate action, Physics - Chemical Physics, 11. Sustainability, Quantum dynamics, Molecular physics, Quantum Physics (quant-ph), Physics - Computational Physics

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39283267
http://arxiv.org/abs/2407.03398
https://hal.science/hal-04677533v1
https://hal.science/hal-04677533v1/document
https://doi.org/10.1039/d4cp02653e

The weak equivalence principle and the Dirac constant: A result from the holographic principle

Autoři: Eiji Konishi

Zdroj: Results in Physics, Vol 73, Iss , Pp 108244- (2025)

Témata: Holographic principle, Quantum entanglement, Holographic tensor network, Classicalization, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221137972500138X; https://doaj.org/toc/2211-3797

Přístupová URL adresa: https://doaj.org/article/6c96d25200ae4c309fd32220ae3ae47b

Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM

Autoři: de Rooij, S.J.S. (author) Batselier, K. (author) Hunyadi, Borbala (author)

Zdroj: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 61:1-5

Témata: 03 medical and health sciences, 0302 clinical medicine, SVM, 0202 electrical engineering, electronic engineering, information engineering, epilepsy, seizure detection, Kalman filter, 02 engineering and technology, tensor network

Přístupová URL adresa: http://resolver.tudelft.nl/uuid:d5cafd9d-8aa5-41cd-9d34-0ed3386f9bb1

Space-Time Finite Element Tensor Network Approach for the Time-Dependent Convection–Diffusion–Reaction Equation with Variable Coefficients

Autoři: Dibyendu Adak Duc P. Truong Radoslav Vuchkov a další

Zdroj: Mathematics, Vol 13, Iss 14, p 2277 (2025)

Témata: space-time finite element, tensor network approach, time-dependent problem, convection–diffusion–reaction equation, variable coefficients, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/14/2277; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/459b0dbae8694795b1e316fb43008f0a