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Differentiable Programming Tensor Networks
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and optimizes them using gradient search. The concept emerges from deep learning but is not limited to training neural networks. We present the
Hai-Jun Liao +3 more
doaj +1 more source
Boson representations, non-standard quantum algebras and contractions
A Gelfan'd--Dyson mapping is used to generate a one-boson realization for the non-standard quantum deformation of $sl(2,\R)$ which directly provides its infinite and finite dimensional irreducible representations. Tensor product decompositions are worked
Abdesselam B +30 more
core +1 more source
Analytical cache modeling and tilesize optimization for tensor contractions [PDF]
Data movement between processor and memory hierarchyis a fundamental bottleneck that limits the performance ofmany applications on modern computer architectures. Tilingand loop permutation are key techniques for improving datalocality. However, selecting effective tile-sizes and loop permutations is particularly challenging for tensor contractions ...
Li, Rui +6 more
openaire +1 more source
Wearable Haptic Feedback Interfaces for Augmenting Human Touch
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel +3 more
wiley +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
An additive and initiator‐free photoresin based on a prepolymer decorated with photoreactive step‐growth units as crosslinkers allows for the fabrication of 3D microstructures with strongly disparate mechanical properties ranging from stiff to soft. Abstract Manufacturing three‐dimensional (3D) microstructures with multi‐material properties via two ...
Tugce Nur Eren +7 more
wiley +1 more source
Based on the tensor network state representation, we develop a nonlinear dynamic theory coined as network contractor dynamics (NCD) to explore the thermodynamic properties of two-dimensional quantum lattice models.
Liu, Tao, Ran, Shi-Ju, Su, Gang, Xi, Bin
core +1 more source
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks
There is a significant expansion in both volume and range of applications along with the concomitant increase in the variety of data sources. These ever-expanding trends have highlighted the necessity for more versatile analysis tools that offer greater opportunities for algorithmic developments and computationally faster operations than the standard ...
Kisil, Ilya +4 more
openaire +2 more sources
Entangled Multistable Origami with Reprogrammable Stiffness Amplification and Damping
This study introduces a class of origami‐inspired metamaterials that overcome the limitations of existing multistable metamaterials by eliminating the need for rigid lateral confinements. Panel entanglement, snap‐through interactions, and instabilities synergy enable them to achieve extensive shape‐shifting, enhanced stiffness, and remarkable energy ...
Amin Jamalimehr +2 more
wiley +1 more source

