Results 41 to 50 of about 751,143 (344)

Using tensor contractions to derive the structure of slice-wise multiplications of tensors with applications to space–time Khatri–Rao coding for MIMO-OFDM systems

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
The slice-wise multiplication of two tensors is required in a variety of tensor decompositions (including PARAFAC2 and PARATUCK2) and is encountered in many applications, including the analysis of multidimensional biomedical data (EEG, MEG, etc.) or ...
Kristina Naskovska   +3 more
doaj   +1 more source

Athena: high-performance sparse tensor contraction sequence on heterogeneous memory

open access: yesInternational Conference on Supercomputing, 2021
Sparse tensor contraction sequence has been widely employed in many fields, such as chemistry and physics. However, how to efficiently implement the sequence faces multiple challenges, such as redundant computations and memory operations, massive memory ...
Jiawen Liu   +3 more
semanticscholar   +1 more source

Simulating Quantum Circuits Using Efficient Tensor Network Contraction Algorithms with Subexponential Upper Bound. [PDF]

open access: yesPhysical Review Letters, 2022
We derive a rigorous upper bound on the classical computation time of finite-ranged tensor network contractions in d≥2 dimensions. Consequently, we show that quantum circuits of single-qubit and finite-ranged two-qubit gates can be classically simulated ...
T. Wahl, Sergii Strelchuk
semanticscholar   +1 more source

Algorithms for tensor network contraction ordering

open access: yesMachine Learning: Science and Technology, 2020
Abstract Contracting tensor networks is often computationally demanding. Well-designed contraction sequences can dramatically reduce the contraction cost. We explore the performance of simulated annealing and genetic algorithms, two common discrete optimization techniques, to this ordering problem.
Schindler, Frank, Jermyn, Adam S
openaire   +5 more sources

Computing vibrational energy levels using a canonical polyadic tensor method with a fixed rank and a contraction tree.

open access: yesJournal of Chemical Physics, 2023
In this paper, we use the previously introduced Canonical Polyadic (CP)-Multiple Shift Block Inverse Iteration (MSBII) eigensolver [S. D. Kallullathil and T. Carrington, J. Chem. Phys. 155, 234105 (2021)] in conjunction with a contraction tree to compute
Sangeeth Das Kallullathil, T. Carrington
semanticscholar   +1 more source

Audiometric findings with voluntary tensor tympani contraction [PDF]

open access: yesJournal of Otolaryngology - Head & Neck Surgery, 2017
Background Tensor tympani contraction may have a “signature” audiogram. This study demonstrates audiometric findings during voluntary tensor tympani contraction. Methods Five volunteers possessing the ability to voluntarily contract their tensor tympani muscles were identified and enrolled.
Brandon Wickens   +2 more
openaire   +2 more sources

A high performance approach for solving the high voltage direct current ion flow field problem by tensor‐structured finite element method

open access: yesHigh Voltage, 2023
In order to achieve high performance for solving the ion flow field problem, an approach is proposed with the tensor‐structured finite element method (FEM) to accelerate the Newton iteration.
Qiwen Cheng, Jun Zou
doaj   +1 more source

Decompositions of tensor products of contractions [PDF]

open access: yesAnnales Polonici Mathematici, 1988
Let G be an additive subgroup of real numbers, and \(G_+=\{t\in G:t\geq 0\}\). Let \(\{T_ 1(t)\}_{t\in G_+}\) and \(\{T_ 2(t)\}_{t\in G_+}\) be two semigroups of contractions on a Hilbert space. The author proves that the unitary part of the semigroup \(\{T_ 1(t)\otimes T_ 2(t)\}\) equals to the tensor product of the unitary parts of \(\{T_ 1(t ...
openaire   +2 more sources

On the Energy-Momentum Density of Gravitational Plane Waves [PDF]

open access: yes, 2004
By embedding Einstein's original formulation of GR into a broader context we show that a dynamic covariant description of gravitational stress-energy emerges naturally from a variational principle.
Bel L   +13 more
core   +2 more sources

Simulating Quantum Computation by Contracting Tensor Networks [PDF]

open access: yesSIAM Journal on Computing, 2008
7 ...
Markov, Igor L., Shi, Yaoyun
openaire   +2 more sources

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