Results 41 to 50 of about 79,851 (290)
Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods [PDF]
Myofibre architecture is one of the essential components when constructing personalized cardiac models. In this study, we develop a neonatal porcine bi-ventricle model with three different myofibre architectures for the left ventricle (LV).
Debao Guan+3 more
doaj +1 more source
Audiometric findings with voluntary tensor tympani contraction [PDF]
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 +3 more sources
Algebraically contractible topological tensor network states [PDF]
23 pages, 6 ...
S. J. Denny+5 more
openaire +6 more sources
CRUSTAL DEFORMATION IN NW IRAN: INSIGHTS FROM DIFFERENT INVARIANT AND VARIANT COMPONENTS OF GEODETIC STRAIN RATE TENSORS [PDF]
Northwest of Iran, as a tectonically active region, has experienced numerous devastating earthquakes. That is why it is so important to study the earth deformation in this area and to provide more precise insights.
M. Rahmani+3 more
doaj +1 more source
Tensor Network Contractions [PDF]
134 pages, 68 figures. In this version, the manuscript has been changed into the format of book; new sections about tensor network and quantum circuits have been ...
Ran, Shi-Ju+6 more
openaire +3 more sources
Fast counting with tensor networks
We introduce tensor network contraction algorithms for counting satisfying assignments of constraint satisfaction problems (#CSPs). We represent each arbitrary #CSP formula as a tensor network, whose full contraction yields the number of satisfying ...
Stefanos Kourtis, Claudio Chamon, Eduardo R. Mucciolo, Andrei E. Ruckenstein
doaj +1 more source
Benchmarking treewidth as a practical component of tensor network simulations.
Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms.
Eugene F Dumitrescu+5 more
doaj +1 more source
High-performance Tensor Contractions for GPUs
We present a computational framework for high-performance tensor contractions on GPUs. High-performance is difficult to obtain using existing libraries, especially for many independent contractions where each contraction is very small, e.g., sub-vector/warp in size.
Abdelfattah, A.+10 more
openaire +5 more sources
Simulating Quantum Computation by Contracting Tensor Networks [PDF]
7 ...
Igor L. Markov, Yaoyun Shi
openaire +3 more sources
Simulating thermal density operators with cluster expansions and tensor networks
We provide an efficient approximation for the exponential of a local operator in quantum spin systems using tensor-network representations of a cluster expansion. We benchmark this cluster tensor network operator (cluster TNO) for one-dimensional systems,
Bram Vanhecke, David Devoogdt, Frank Verstraete, Laurens Vanderstraeten
doaj +1 more source